Francisco Herrera
Orcid: 0000-0002-7283-312XAffiliations:
- University of Granada, Department of Computer Science and Artificial Intelligence
According to our database1,
Francisco Herrera
authored at least 873 papers
between 1994 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A data-morphology-based counterfactual generation method for trustworthy artificial intelligence.
Inf. Sci., 2025
Developing Big Data anomaly dynamic and static detection algorithms: AnomalyDSD spark package.
Inf. Sci., 2025
Inf. Sci., 2025
2024
Cogn. Comput., July, 2024
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Measuring Additive Consistency of Linguistic Preference Relations in a Personalized-Individual-Semantics Context: A Systematic Investigation With Axiomatic Design.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends.
IEEE CAA J. Autom. Sinica, April, 2024
GOIMAI DataSet-Phase-I of high-resolution macroscopic images for the identification of wood species.
Dataset, April, 2024
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance.
Inf. Fusion, March, 2024
Metric learning for monotonic classification: turning the space up to the limits of monotonicity.
Appl. Intell., March, 2024
Federated Learning for Exploiting Annotators' Disagreements in Natural Language Processing.
Trans. Assoc. Comput. Linguistics, 2024
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions.
Inf. Fusion, 2024
Inf. Fusion, 2024
RAB<sup>2</sup>-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients.
CoRR, 2024
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting.
CoRR, 2024
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction.
CoRR, 2024
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects.
CoRR, 2024
CoRR, 2024
Large language models for crowd decision making based on prompt design strategies using ChatGPT: models, analysis and challenges.
CoRR, 2024
Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression.
Proceedings of the International Joint Conference on Neural Networks, 2024
Deep Learning methodology for the identification of wood species using high-resolution macroscopic images.
Proceedings of the International Joint Conference on Neural Networks, 2024
Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024
Establishing the Foundation for Out-of-Distribution Detection in Monument Classification Through Nested Dichotomies.
Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024
Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024
Attentiveness on criticisms and definition about Explainable Artificial Intelligence.
Proceedings of the 19th Conference on Computer Science and Intelligence Systems, 2024
2023
Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series.
Inf. Fusion, December, 2023
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation.
Inf. Fusion, November, 2023
Generalizing max pooling via (a,b)-grouping functions for Convolutional Neural Networks.
Inf. Fusion, November, 2023
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence.
Inf. Fusion, November, 2023
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness.
Appl. Soft Comput., November, 2023
Design and consensus content validity of the questionnaire for b-learning education: A 2-Tuple Fuzzy Linguistic Delphi based Decision Support Tool.
Appl. Soft Comput., November, 2023
Consensus Convergence Speed in Social Network DeGroot Model: The Effects of the Agents With High Self-Confidence Levels.
IEEE Trans. Comput. Soc. Syst., October, 2023
Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup Discovery.
Inf. Fusion, September, 2023
Corrigendum to "An improved multiplicative acceptability consistency-driven group decision making with triangular fuzzy reciprocal preference relations" [Comput. Ind. Eng. 176 (2023) 108981].
Comput. Ind. Eng., September, 2023
Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study.
Neurocomputing, August, 2023
A Trust Risk Dynamic Management Mechanism Based on Third-Party Monitoring for the Conflict-Eliminating Process of Social Network Group Decision Making.
IEEE Trans. Cybern., June, 2023
Regret Theory-Based Three-Way Decision Method on Incomplete Multiscale Decision Information Systems With Interval Fuzzy Numbers.
IEEE Trans. Fuzzy Syst., March, 2023
An improved multiplicative acceptability consistency-driven group decision making with triangular fuzzy reciprocal preference relations.
Comput. Ind. Eng., February, 2023
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks.
Neural Networks, January, 2023
Crowd Decision Making: Sparse Representation Guided by Sentiment Analysis for Leveraging the Wisdom of the Crowd.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Mixed Opinion Dynamics Based on DeGroot Model and Hegselmann-Krause Model in Social Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization.
IEEE Trans. Cybern., 2023
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges.
Inf. Fusion, 2023
TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning.
Neurocomputing, 2023
REVEL Framework to Measure Local Linear Explanations for Black-Box Models: Deep Learning Image Classification Case Study.
Int. J. Intell. Syst., 2023
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning.
CoRR, 2023
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications.
CoRR, 2023
Low-Impact Feature Reduction Regularization Term: How to Improve Artificial Intelligence with Explainability.
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Proceedings of the Engineering of Computer-Based Systems - 8th International Conference, 2023
2022
A New Clustering Algorithm With Preference Adjustment Cost to Reduce the Cooperation Complexity in Large-Scale Group Decision Making.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Integrating Continual Personalized Individual Semantics Learning in Consensus Reaching in Linguistic Group Decision Making.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Trust-Consensus Multiplex Networks by Combining Trust Social Network Analysis and Consensus Evolution Methods in Group Decision-Making.
IEEE Trans. Fuzzy Syst., 2022
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning.
IEEE Trans. Evol. Comput., 2022
Pattern Recognit., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions.
Neural Networks, 2022
A framework for adapting online prediction algorithms to outlier detection over time series.
Knowl. Based Syst., 2022
Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification.
Knowl. Based Syst., 2022
Inf. Sci., 2022
EXplainable Neural-Symbolic Learning (<i>X-NeSyL</i>) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case.
Inf. Fusion, 2022
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.
Inf. Fusion, 2022
A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges.
Inf. Fusion, 2022
Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants' individual attributes and concerns.
Inf. Fusion, 2022
Human pose estimation for mitigating false negatives in weapon detection in video-surveillance.
Neurocomputing, 2022
Future Gener. Comput. Syst., 2022
Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials.
Eng. Appl. Artif. Intell., 2022
A Practical Tutorial for Decision Tree Induction: Evaluation Measures for Candidate Splits and Opportunities.
ACM Comput. Surv., 2022
TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study).
CoRR, 2022
Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization.
CoRR, 2022
Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns.
Cogn. Comput., 2022
Managing minority opinions in large-scale group decision making based on community detection and group polarization.
Comput. Ind. Eng., 2022
A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems.
Appl. Soft Comput., 2022
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
2021
Revisiting Fuzzy and Linguistic Decision Making: Scenarios and Challenges for Making Wiser Decisions in a Better Way.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Consensus Reaching and Strategic Manipulation in Group Decision Making With Trust Relationships.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Balance Dynamic Clustering Analysis and Consensus Reaching Process With Consensus Evolution Networks in Large-Scale Group Decision Making.
IEEE Trans. Fuzzy Syst., 2021
IEEE Trans. Fuzzy Syst., 2021
IEEE Trans. Fuzzy Syst., 2021
Consensus Model Handling Minority Opinions and Noncooperative Behaviors in Large-Scale Group Decision-Making Under Double Hierarchy Linguistic Preference Relations.
IEEE Trans. Cybern., 2021
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems.
Swarm Evol. Comput., 2021
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms.
Swarm Evol. Comput., 2021
CI-Dataset and DetDSCI Methodology for Detecting Too Small and Too Large Critical Infrastructures in Satellite Images: Airports and Electrical Substations as Case Study.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
SoftwareX, 2021
Ordinal regression with explainable distance metric learning based on ordered sequences.
Mach. Learn., 2021
ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries.
Knowl. Based Syst., 2021
Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect.
Knowl. Inf. Syst., 2021
Dynamic subgroup-quality-based consensus in managing consistency, nearness, and evenness quality indices for large-scale group decision making under hesitant environment.
J. Oper. Res. Soc., 2021
Probabilistic double hierarchy linguistic term set and its use in designing an improved VIKOR method: The application in smart healthcare.
J. Oper. Res. Soc., 2021
A consensus process based on regret theory with probabilistic linguistic term sets and its application in venture capital.
Inf. Sci., 2021
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking.
Inf. Sci., 2021
Multiple instance classification: Bag noise filtering for negative instance noise cleaning.
Inf. Sci., 2021
Inf. Sci., 2021
Score function based on concentration degree for probabilistic linguistic term sets: An application to TOPSIS and VIKOR.
Inf. Sci., 2021
An efficient consensus reaching framework for large-scale social network group decision making and its application in urban resettlement.
Inf. Sci., 2021
Special Issue on Methods and Infrastructures for Data Mining at the Edge of Internet of Things.
IEEE Internet Things J., 2021
Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews.
Inf. Fusion, 2021
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence.
Inf. Fusion, 2021
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges.
Inf. Fusion, 2021
A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges.
Neurocomputing, 2021
MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification.
Neurocomputing, 2021
Fuzzy <i>k</i>-nearest neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise.
Neurocomputing, 2021
Learning interpretable multi-class models by means of hierarchical decomposition: Threshold Control for Nested Dichotomies.
Neurocomputing, 2021
Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms.
Neurocomputing, 2021
Measuring volatility based on ordered weighted average operators: The case of agricultural product prices.
Fuzzy Sets Syst., 2021
Data Min. Knowl. Discov., 2021
A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training.
CoRR, 2021
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms.
CoRR, 2021
Small and large scale critical infrastructures detection based on deep learning using high resolution orthogonal images.
CoRR, 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case.
CoRR, 2021
MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance.
CoRR, 2021
An interval type-2 fuzzy Kano-prospect-TOPSIS based QFD model: Application to Chinese e-commerce service design.
Appl. Soft Comput., 2021
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects.
Appl. Intell., 2021
An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification.
IEEE Access, 2021
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
2020
COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images.
IEEE J. Biomed. Health Informatics, 2020
Editorial: Fuzzy Logic and Artificial Intelligence: A Special Issue on Emerging Techniques and Their Applications.
IEEE Trans. Fuzzy Syst., 2020
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data.
IEEE Trans. Fuzzy Syst., 2020
Interval MULTIMOORA Method Integrating Interval Borda Rule and Interval Best-Worst-Method-Based Weighting Model: Case Study on Hybrid Vehicle Engine Selection.
IEEE Trans. Cybern., 2020
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review.
Swarm Evol. Comput., 2020
Scientometrics, 2020
Remote. Sens., 2020
Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance.
Knowl. Based Syst., 2020
Knowl. Based Syst., 2020
Knowl. Based Syst., 2020
J. Intell. Fuzzy Syst., 2020
What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules.
J. Ambient Intell. Humaniz. Comput., 2020
A two-step communication opinion dynamics model with self-persistence and influence index for social networks based on the DeGroot model.
Inf. Sci., 2020
Hesitancy degree-based correlation measures for hesitant fuzzy linguistic term sets and their applications in multiple criteria decision making.
Inf. Sci., 2020
Inf. Sci., 2020
Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification.
Inf. Sci., 2020
Preprocessing methodology for time series: An industrial world application case study.
Inf. Sci., 2020
An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges.
Inf. Fusion, 2020
MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal.
Inf. Fusion, 2020
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects.
Inf. Fusion, 2020
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities.
Inf. Fusion, 2020
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective.
Inf. Fusion, 2020
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy.
Inf. Fusion, 2020
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.
Inf. Fusion, 2020
Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems.
Neurocomputing, 2020
An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges.
Neurocomputing, 2020
BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights.
Neurocomputing, 2020
The minimum cost consensus model considering the implicit trust of opinions similarities in social network group decision-making.
Int. J. Intell. Syst., 2020
Modeling agent-based consumers decision-making with 2-tuple fuzzy linguistic perceptions.
Int. J. Intell. Syst., 2020
Enhancing the classification of social media opinions by optimizing the structural information.
Future Gener. Comput. Syst., 2020
A novel methodology to classify test cases using natural language processing and imbalanced learning.
Eng. Appl. Artif. Intell., 2020
Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology: Using Natural Language Processing and Deep Learning for Decision Aid.
CoRR, 2020
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics.
CoRR, 2020
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise.
CoRR, 2020
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations.
CoRR, 2020
A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error.
CoRR, 2020
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations.
Cogn. Comput., 2020
Overview of Hesitant Linguistic Preference Relations for Representing Cognitive Complex Information: Where We Stand and What Is Next.
Cogn. Comput., 2020
Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems.
IEEE Access, 2020
IEEE Access, 2020
HFER: Promoting Explainability in Fuzzy Systems via Hierarchical Fuzzy Exception Rules.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
2-tuple fuzzy linguistic perceptions and probabilistic awareness-based heuristics for modeling consumer purchase behaviors.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data.
WIREs Data Mining Knowl. Discov., 2019
Alternative Ranking-Based Clustering and Reliability Index-Based Consensus Reaching Process for Hesitant Fuzzy Large Scale Group Decision Making.
IEEE Trans. Fuzzy Syst., 2019
IEEE Trans. Fuzzy Syst., 2019
A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Personalized Individual Semantics and Opposing Consensus Groups.
IEEE Trans. Fuzzy Syst., 2019
Sparse Representation-Based Intuitionistic Fuzzy Clustering Approach to Find the Group Intra-Relations and Group Leaders for Large-Scale Decision Making.
IEEE Trans. Fuzzy Syst., 2019
A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity.
IEEE Trans. Fuzzy Syst., 2019
IEEE Trans. Fuzzy Syst., 2019
A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems.
Soft Comput., 2019
Detection of Fir Trees (<i>Abies sibirica</i>) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning.
Remote. Sens., 2019
Prog. Artif. Intell., 2019
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations.
Prog. Artif. Intell., 2019
Deep recurrent neural network for geographical entities disambiguation on social media data.
Knowl. Based Syst., 2019
Revisiting inconsistent judgments for incomplete fuzzy linguistic preference relations: Algorithms to identify and rectify ordinal inconsistencies.
Knowl. Based Syst., 2019
Ordinal consensus measure with objective threshold for heterogeneous large-scale group decision making.
Knowl. Based Syst., 2019
Defective alternatives detection-based multi-attribute intuitionistic fuzzy large-scale decision making model.
Knowl. Based Syst., 2019
Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks.
Knowl. Based Syst., 2019
Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise.
Knowl. Inf. Syst., 2019
E<sup>2</sup>SAM: Evolutionary ensemble of sentiment analysis methods for domain adaptation.
Inf. Sci., 2019
Social network group decision making: Managing self-confidence-based consensus model with the dynamic importance degree of experts and trust-based feedback mechanism.
Inf. Sci., 2019
Group decision making with double hierarchy hesitant fuzzy linguistic preference relations: Consistency based measures, index and repairing algorithms and decision model.
Inf. Sci., 2019
Consensus reaching in social network DeGroot Model: The roles of the Self-confidence and node degree.
Inf. Sci., 2019
Consensus evolution networks: A consensus reaching tool for managing consensus thresholds in group decision making.
Inf. Fusion, 2019
A binocular image fusion approach for minimizing false positives in handgun detection with deep learning.
Inf. Fusion, 2019
Consensus model for large-scale group decision making based on fuzzy preference relation with self-confidence: Detecting and managing overconfidence behaviors.
Inf. Fusion, 2019
Score-HeDLiSF: A score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions: An application to unbalanced hesitant fuzzy linguistic MULTIMOORA.
Inf. Fusion, 2019
An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and fusion: Taxonomy and future directions.
Inf. Fusion, 2019
An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges.
Inf. Fusion, 2019
Social network analysis-based conflict relationship investigation and conflict degree-based consensus reaching process for large scale decision making using sparse representation.
Inf. Fusion, 2019
Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods.
Neurocomputing, 2019
Neurocomputing, 2019
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization.
Neurocomputing, 2019
Neurocomputing, 2019
Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning.
Neurocomputing, 2019
Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference - Editorial.
Neurocomputing, 2019
Analysis of self-confidence indices-based additive consistency for fuzzy preference relations with self-confidence and its application in group decision making.
Int. J. Intell. Syst., 2019
Int. J. Intell. Syst., 2019
From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification.
Int. J. Intell. Syst., 2019
A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search.
Int. J. Comput. Intell. Syst., 2019
Visualizing and rectifying different inconsistencies for fuzzy reciprocal preference relations.
Fuzzy Sets Syst., 2019
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation.
Expert Syst. Appl., 2019
Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination.
Eur. J. Oper. Res., 2019
Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0.
Eng. Appl. Artif. Intell., 2019
Cogn. Comput., 2019
Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?
IEEE Comput. Intell. Mag., 2019
A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation.
IEEE Access, 2019
Hesitant Fuzzy Linguistic Analytic Hierarchical Process With Prioritization, Consistency Checking, and Inconsistency Repairing.
IEEE Access, 2019
An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing.
Proceedings of the 7th Conference on Cloud Computing & Big Data, 2019
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019
Proceedings of the 4th International Conference on Internet of Things, 2019
Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries.
Proceedings of the 4th International Conference on Internet of Things, 2019
Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms.
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019
Quality Data Processing for Deep Learning.
Proceedings of the 4th International Conference on Complexity, 2019
Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark.
IEEE Trans. Syst. Man Cybern. Syst., 2018
Probabilistic Linguistic MULTIMOORA: A Multicriteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule.
IEEE Trans. Fuzzy Syst., 2018
A New Hesitant Fuzzy Linguistic ORESTE Method for Hybrid Multicriteria Decision Making.
IEEE Trans. Fuzzy Syst., 2018
IEEE Trans. Cloud Comput., 2018
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark.
Swarm Evol. Comput., 2018
Dynamic ensemble selection for multi-class classification with one-class classifiers.
Pattern Recognit., 2018
Exploring Consistency for Hesitant Preference Relations in Decision Making: Discussing Concepts, Meaning and Taxonomy.
J. Multiple Valued Log. Soft Comput., 2018
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems.
Knowl. Based Syst., 2018
Knowl. Based Syst., 2018
A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making.
Knowl. Based Syst., 2018
Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions.
Knowl. Based Syst., 2018
Consensus reaching process for large-scale group decision making with double hierarchy hesitant fuzzy linguistic preference relations.
Knowl. Based Syst., 2018
Knowl. Based Syst., 2018
Knowl. Based Syst., 2018
A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy.
Knowl. Based Syst., 2018
A multi-objective evolutionary approach to training set selection for support vector machine.
Knowl. Based Syst., 2018
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach.
Knowl. Inf. Syst., 2018
SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data.
J. Comput. Sci. Technol., 2018
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary.
J. Artif. Intell. Res., 2018
Inf. Sci., 2018
Consistency of hesitant fuzzy linguistic preference relations: An interval consistency index.
Inf. Sci., 2018
Inf. Fusion, 2018
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce.
Inf. Fusion, 2018
Distinguishing between facts and opinions for sentiment analysis: Survey and challenges.
Inf. Fusion, 2018
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines.
Inf. Fusion, 2018
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018
DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets.
Neurocomputing, 2018
Neurocomputing, 2018
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository.
Neurocomputing, 2018
On the use of convolutional neural networks for robust classification of multiple fingerprint captures.
Int. J. Intell. Syst., 2018
Editorial Message: Special Issue on Hesitant Fuzzy Linguistic Decision Making: Algorithms, Theory and Applications.
Int. J. Fuzzy Syst., 2018
Hesitant Fuzzy Linguistic Term Set and Its Application in Decision Making: A State-of-the-Art Survey.
Int. J. Fuzzy Syst., 2018
Integr. Comput. Aided Eng., 2018
On a new methodology for ranking fuzzy numbers and its application to real economic data.
Fuzzy Sets Syst., 2018
Future Gener. Comput. Syst., 2018
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software.
CoRR, 2018
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods.
CoRR, 2018
CoRR, 2018
Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization.
CoRR, 2018
An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions.
Cogn. Comput., 2018
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines.
IEEE Comput. Intell. Mag., 2018
Multiple criteria decision making based on distance and similarity measures under double hierarchy hesitant fuzzy linguistic environment.
Comput. Ind. Eng., 2018
Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiers.
BMC Bioinform., 2018
Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust.
Appl. Soft Comput., 2018
Underground Mining Method Selection With the Hesitant Fuzzy Linguistic Gained and Lost Dominance Score Method.
IEEE Access, 2018
IEEE Access, 2018
SCI<sup>2</sup>S at TASS 2018: Emotion Classification with Recurrent Neural Networks.
Proceedings of TASS 2018: Workshop on Semantic Analysis at SEPLN, 2018
A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification.
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018
A first study exploring the performance of the state-of-the art CNN model in the problem of breast cancer.
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018
The Use of Fuzzy Linguistic Information and Fuzzy Delphi Method to Validate by Consensus a Questionnaire in a Blended-Learning Environment.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018
Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
Cooperative multi-objective evolutionary support vector machines for multiclass problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering.
Proceedings of the Advances in Artificial Intelligence, 2018
2017
IEEE Trans. Syst. Man Cybern. Syst., 2017
IEEE Trans. Fuzzy Syst., 2017
An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles.
IEEE Trans. Evol. Comput., 2017
Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness.
Soft Comput., 2017
Deep-learning <i>Versus</i> OBIA for Scattered Shrub Detection with Google Earth Imagery: <i>Ziziphus lotus</i> as Case Study.
Remote. Sens., 2017
Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets.
Pattern Recognit., 2017
SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification.
Prog. Artif. Intell., 2017
Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme.
Knowl. Based Syst., 2017
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection.
Knowl. Based Syst., 2017
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data.
Knowl. Based Syst., 2017
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks.
Inf. Sci., 2017
A linear programming method for multiple criteria decision making with probabilistic linguistic information.
Inf. Sci., 2017
Personalized individual semantics in computing with words for supporting linguistic group decision making. An application on consensus reaching.
Inf. Fusion, 2017
Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures.
Inf. Fusion, 2017
NMC: nearest matrix classification - A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem.
Inf. Fusion, 2017
A survey on data preprocessing for data stream mining: Current status and future directions.
Neurocomputing, 2017
A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets.
Int. J. Neural Syst., 2017
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data.
Int. J. Intell. Syst., 2017
Int. J. Comput. Intell. Syst., 2017
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST.
Int. J. Comput. Intell. Syst., 2017
Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?
Int. J. Comput. Intell. Syst., 2017
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints.
CoRR, 2017
Genetic and Memetic Algorithm with Diversity Equilibrium based on Greedy Diversification.
CoRR, 2017
Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery.
CoRR, 2017
Conference Report on 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017) [Conference Reports].
IEEE Comput. Intell. Mag., 2017
The Importance of Context: Assessing the Benefits and Limitations of Participatory Mapping for Empowering Indigenous Communities in the Comarca Ngäbe-Buglé, Panama.
Cartogr. Int. J. Geogr. Inf. Geovisualization, 2017
Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers.
Appl. Soft Comput., 2017
Fuzzy rule based classification systems for big data with MapReduce: granularity analysis.
Adv. Data Anal. Classif., 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
A consistency-driven approach to set personalized numerical scales for hesitant fuzzy linguistic preference relations.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Chi-Spark-RS: An Spark-built evolutionary fuzzy rule selection algorithm in imbalanced classification for big data problems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Big Data, Smart Data and Imbalanced Classification - Preprocessing, Models and Challenges.
Proceedings of the CLOSER 2017, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement?
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Proceedings of the Fuzzy Logic in Its 50th Year, 2016
WIREs Data Mining Knowl. Discov., 2016
ACM Trans. Multim. Comput. Commun. Appl., 2016
Comments on "Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Towards a Wide View on Their Relationship".
IEEE Trans. Fuzzy Syst., 2016
IEEE Trans. Fuzzy Syst., 2016
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification.
IEEE Trans. Cybern., 2016
Pattern Recognit., 2016
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data.
Knowl. Based Syst., 2016
Deriving the priority weights from incomplete hesitant fuzzy preference relations in group decision making.
Knowl. Based Syst., 2016
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining.
Knowl. Based Syst., 2016
A distance-based framework to deal with ordinal and additive inconsistencies for fuzzy reciprocal preference relations.
Inf. Sci., 2016
NICGAR: A Niching Genetic Algorithm to mine a diverse set of interesting quantitative association rules.
Inf. Sci., 2016
Inf. Sci., 2016
Inf. Sci., 2016
Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets.
Inf. Sci., 2016
Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information.
Inf. Sci., 2016
Inf. Sci., 2016
INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control.
Inf. Fusion, 2016
A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress.
Inf. Fusion, 2016
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases.
Inf. Fusion, 2016
Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure.
Neurocomputing, 2016
Int. J. Comput. Intell. Syst., 2016
Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC).
Int. J. Approx. Reason., 2016
Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm.
Eng. Appl. Artif. Intell., 2016
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark.
CoRR, 2016
Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis.
Appl. Soft Comput., 2016
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy.
Appl. Soft Comput., 2016
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Fuzzy-Citation-KNN: A fuzzy nearest neighbor approach for multi-instance classification.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
An optimization-based approach to estimate the range of consistency in hesitant fuzzy linguistic preference relations.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
A First Approach in Evolutionary Fuzzy Systems based on the lateral tuning of the linguistic labels for Big Data classification.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Designing optimal harmonic filters in power systems using greedy adaptive Differential Evolution.
Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016
Evolutionary undersampling for extremely imbalanced big data classification under apache spark.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the Fuzzy Logic and Information Fusion, 2016
Springer, ISBN: 978-3-319-47759-6, 2016
Springer, ISBN: 978-3-319-41111-8, 2016
2015
Intelligent Systems Reference Library 72, Springer, ISBN: 978-3-319-10247-4, 2015
Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Toward a Wider View on Their Relationship.
IEEE Trans. Fuzzy Syst., 2015
A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications With Imbalanced Data.
IEEE Trans. Fuzzy Syst., 2015
IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification.
IEEE Trans. Fuzzy Syst., 2015
Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies.
IEEE Trans. Fuzzy Syst., 2015
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification.
IEEE Trans. Cybern., 2015
On the usefulness of one-class classifier ensembles for decomposition of multi-class problems.
Pattern Recognit., 2015
DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems.
Pattern Recognit., 2015
Monotonic Random Forest with an Ensemble Pruning Mechanism based on the Degree of Monotonicity.
New Gener. Comput., 2015
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem.
Knowl. Based Syst., 2015
Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems.
Knowl. Based Syst., 2015
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal.
Knowl. Based Syst., 2015
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models.
Knowl. Based Syst., 2015
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges.
Knowl. Based Syst., 2015
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation.
Knowl. Based Syst., 2015
A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets.
Knowl. Based Syst., 2015
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study.
Knowl. Inf. Syst., 2015
An automatic extraction method of the domains of competence for learning classifiers using data complexity measures.
Knowl. Inf. Syst., 2015
SMOTE-IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering.
Inf. Sci., 2015
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation.
Inf. Sci., 2015
An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level.
Inf. Sci., 2015
Minimizing adjusted simple terms in the consensus reaching process with hesitant linguistic assessments in group decision making.
Inf. Sci., 2015
Neurocomputing, 2015
Addressing imbalance in multilabel classification: Measures and random resampling algorithms.
Neurocomputing, 2015
A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends.
Int. J. Comput. Intell. Syst., 2015
A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules.
Int. J. Comput. Intell. Syst., 2015
Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data.
Fuzzy Sets Syst., 2015
On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems.
Expert Syst. Appl., 2015
A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets.
Appl. Soft Comput., 2015
Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015
Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015
Improving the OVO performance in Fuzzy Rule-Based Classification Systems by the genetic learning of the granularity level.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
A linguistic 2-tuple multicriteria decision making model dealing with hesitant linguistic information.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
A tour on big data classification: Selected Computational Intelligence approaches.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015
Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015
An Interval Valued K-Nearest Neighbors Classifier.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015
QUINTA: A question tagging assistant to improve the answering ratio in electronic forums.
Proceedings of the IEEE EUROCON 2015, 2015
Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks.
Proceedings of the Engineering Applications of Neural Networks, 2015
On the Combination of Pairwise and Granularity Learning for Improving Fuzzy Rule-Based Classification Systems: GL-FARCHD-OVO.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015
New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Iterative hybridization of DE with Local Search for the CEC'2015 special session on large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Computing with Words for Decision Making Versus Linguistic Decision Making: A Reflection on both Scenarios.
Proceedings of the Enric Trillas: A Passion for Fuzzy Sets, 2015
Springer, ISBN: 978-3-319-24714-4, 2015
2014
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks.
WIREs Data Mining Knowl. Discov., 2014
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms.
WIREs Data Mining Knowl. Discov., 2014
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification.
IEEE Trans. Neural Networks Learn. Syst., 2014
IEEE Trans. Inf. Forensics Secur., 2014
A Consensus Model to Detect and Manage Noncooperative Behaviors in Large-Scale Group Decision Making.
IEEE Trans. Fuzzy Syst., 2014
A New Multiobjective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules.
IEEE Trans. Evol. Comput., 2014
An insight into the importance of national university rankings in an international context: the case of the I-UGR rankings of Spanish universities.
Scientometrics, 2014
Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers.
Pattern Recognit., 2014
On the statistical analysis of the parameters' trend in a machine learning algorithm.
Prog. Artif. Intell., 2014
A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation.
Knowl. Based Syst., 2014
MENTOR: A graphical monitoring tool of preferences evolution in large-scale group decision making.
Knowl. Based Syst., 2014
Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition.
Knowl. Inf. Syst., 2014
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets".
Inf. Sci., 2014
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules.
Inf. Sci., 2014
On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed.
Inf. Sci., 2014
Empowering difficult classes with a similarity-based aggregation in multi-class classification problems.
Inf. Sci., 2014
METSK-HD<sup>e</sup>: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems.
Inf. Sci., 2014
FLINTSTONES: A fuzzy linguistic decision tools enhancement suite based on the 2-tuple linguistic model and extensions.
Inf. Sci., 2014
Analyzing convergence performance of evolutionary algorithms: A statistical approach.
Inf. Sci., 2014
Inf. Sci., 2014
Inf. Sci., 2014
Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study.
Inf. Fusion, 2014
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification.
Neurocomputing, 2014
Neurocomputing, 2014
Int. J. Learn. Technol., 2014
Int. J. Intell. Syst., 2014
Int. J. Intell. Syst., 2014
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms.
Eng. Appl. Artif. Intell., 2014
Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection.
Appl. Soft Comput., 2014
A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems: D-MOFARC algorithm.
Appl. Soft Comput., 2014
Improving the Performance of FARC-HD in Multi-class Classification Problems Using the One-Versus-One Strategy and an Adaptation of the Inference System.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014
Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
Improving the Behavior of the Nearest Neighbor Classifier against Noisy Data with Feature Weighting Schemes.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
A preliminary study on fingerprint classification using fuzzy rule-based classification systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions.
Proceedings of the 17th International Conference on Information Fusion, 2014
Weighted one-class classification for different types of minority class examples in imbalanced data.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Influence of regions on the memetic algorithm for the CEC'2014 Special Session on Real-Parameter Single Objective Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning.
IEEE Trans. Knowl. Data Eng., 2013
IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection.
IEEE Trans. Fuzzy Syst., 2013
A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions.
IEEE Trans. Fuzzy Syst., 2013
On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection.
Soft Comput., 2013
Predicting noise filtering efficacy with data complexity measures for nearest neighbor classification.
Pattern Recognit., 2013
Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers.
Pattern Recognit., 2013
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling.
Pattern Recognit., 2013
A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets.
Knowl. Based Syst., 2013
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches.
Knowl. Based Syst., 2013
A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off.
Knowl. Based Syst., 2013
On the use of biplot analysis for multivariate bibliometric and scientific indicators.
J. Assoc. Inf. Sci. Technol., 2013
Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness.
Inf. Sci., 2013
A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets.
Inf. Sci., 2013
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics.
Inf. Sci., 2013
The role of national university rankings in an international context: the case of the I-UGR Rankings of Spanish universities
CoRR, 2013
Statistical analysis of convergence performance throughout the evolutionary search: A case study with SaDE-MMTS and Sa-EPSDE-MMTS.
Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013
OWA-FRPS: A Prototype Selection Method Based on Ordered Weighted Average Fuzzy Rough Set Theory.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets.
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities.
Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2013
Addressing covariate shift for Genetic Fuzzy Systems classifiers: A case of study with FARC-HD for imbalanced datasets.
Proceedings of the FUZZ-IEEE 2013, 2013
Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems.
Proceedings of the FUZZ-IEEE 2013, 2013
Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Proceedings of the Combining Experimentation and Theory - A Hommage to Abe Mamdani, 2012
A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification.
IEEE Trans. Syst. Man Cybern. Part C, 2012
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches.
IEEE Trans. Syst. Man Cybern. Part C, 2012
Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms.
IEEE Trans. Syst. Man Cybern. Part B, 2012
IEEE Trans. Neural Networks Learn. Syst., 2012
IEEE Trans. Intell. Transp. Syst., 2012
Grouping, Overlap, and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons.
IEEE Trans. Fuzzy Syst., 2012
IEEE Trans. Fuzzy Syst., 2012
Modeling dynamics of a real-coded CHC algorithm in terms of dynamical probability distributions.
Soft Comput., 2012
Soft Comput., 2012
Ranking of research output of universities on the basis of the multidimensional prestige of influential fields: Spanish universities as a case of study.
Scientometrics, 2012
Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study.
IEEE Trans. Pattern Anal. Mach. Intell., 2012
Knowl. Based Syst., 2012
SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory.
Knowl. Inf. Syst., 2012
On the choice of the best imputation methods for missing values considering three groups of classification methods.
Knowl. Inf. Syst., 2012
Analysis of new niching genetic algorithms for finding multiple solutions in the job shop scheduling.
J. Intell. Manuf., 2012
J. Assoc. Inf. Sci. Technol., 2012
An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges.
Inf. Sci., 2012
Shared domains of competence of approximate learning models using measures of separability of classes.
Inf. Sci., 2012
Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection.
Inf. Sci., 2012
Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012
Integrating a differential evolution feature weighting scheme into prototype generation.
Neurocomputing, 2012
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics.
Expert Syst. Appl., 2012
A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems.
Appl. Intell., 2012
Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments.
Appl. Intell., 2012
An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing.
Proceedings of the 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing, 2012
Proceedings of the Advances on Computational Intelligence, 2012
Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations.
Proceedings of the ICPRAM 2012, 2012
A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms.
Proceedings of the ICPRAM 2012, 2012
Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers.
Proceedings of the FUZZ-IEEE 2012, 2012
Optimising real parameters using the information of a mesh of solutions: VMO algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information.
Proceedings of the Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice, 2011
A Fast and Scalable Multiobjective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems.
IEEE Trans. Fuzzy Syst., 2011
A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning.
IEEE Trans. Fuzzy Syst., 2011
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms.
Swarm Evol. Comput., 2011
Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains.
Soft Comput., 2011
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling.
Soft Comput., 2011
Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems.
Soft Comput., 2011
Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions.
Soft Comput., 2011
A methodology for Institution-Field ranking based on a bidimensional analysis: the <i>IFQ</i><sup>2</sup><i>A</i> index.
Scientometrics, 2011
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification.
Pattern Recognit., 2011
An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes.
Pattern Recognit., 2011
Knowl. Inf. Syst., 2011
An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field.
J. Informetrics, 2011
J. Assoc. Inf. Sci. Technol., 2011
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures.
Inf. Sci., 2011
A genetic tuning to improve the performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of ignorance and lateral position.
Int. J. Approx. Reason., 2011
Appl. Soft Comput., 2011
A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems.
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011
A case study on medical diagnosis of cardiovascular diseases using a Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets.
Proceedings of the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2011
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms.
Proceedings of the Advances in Computational Intelligence, 2011
Fuzzy Rule Based Classification Systems versus crisp robust learners trained in presence of class noise's effects: A case of study.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
Evolutionary Multi-Objective Algorithm to effectively improve the performance of the classic tuning of fuzzy logic controllers for a heating, ventilating and Air Conditioning system.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011
Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets.
Proceedings of the FUZZ-IEEE 2011, 2011
On the cooperation of interval-valued fuzzy sets and genetic tuning to improve the performance of fuzzy decision trees.
Proceedings of the FUZZ-IEEE 2011, 2011
Evolutionary learning of a laser pointer detection fuzzy system for an environment control system.
Proceedings of the FUZZ-IEEE 2011, 2011
Proceedings of the Eurofuse 2011, 2011
On the Usefulness of Interval Valued Fuzzy Sets for Learning Fuzzy Rule Based Classification Systems.
Proceedings of the Eurofuse 2011, 2011
Construction of Interval-Valued Fuzzy Preference Relations Using Ignorance Functions: Interval-Valued Non Dominance Criterion.
Proceedings of the Eurofuse 2011, 2011
Musical genre classification by means of Fuzzy Rule-Based Systems: A preliminary approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems.
Proceedings of the Parallel and Distributed Computational Intelligence, 2010
IEEE Trans. Syst. Man Cybern. Part C, 2010
IEEE Trans. Neural Networks, 2010
Integration of an Index to Preserve the Semantic Interpretability in the Multiobjective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems.
IEEE Trans. Fuzzy Syst., 2010
NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery.
IEEE Trans. Fuzzy Syst., 2010
Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study.
IEEE Trans. Evol. Comput., 2010
<i>hg</i>-index: a new index to characterize the scientific output of researchers based on the <i>h</i>- and <i>g</i>-indices.
Scientometrics, 2010
IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule.
Pattern Recognit., 2010
A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering method.
Neural Networks, 2010
Stratified prototype selection based on a steady-state memetic algorithm: a study of scalability.
Memetic Comput., 2010
q<sup>2</sup>-Index: Quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core.
J. Informetrics, 2010
<i>WoS</i> query partitioner: A tool to retrieve very large numbers of items from the <i>Web of Science</i> using different source-based partitioning approaches.
J. Assoc. Inf. Sci. Technol., 2010
Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning.
Inf. Sci., 2010
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power.
Inf. Sci., 2010
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets.
Inf. Sci., 2010
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems.
Inf. Sci., 2010
A web based consensus support system for group decision making problems and incomplete preferences.
Inf. Sci., 2010
A bibliometric study about the research based on hybridating the fuzzy logic field and the other computational intelligent techniques: A visual approach.
Int. J. Hybrid Intell. Syst., 2010
Computing with Words in Decision support Systems: An overview on Models and Applications.
Int. J. Comput. Intell. Syst., 2010
Special Issue on Decision Support Systems based on Computing with Words: Applications.
Int. J. Comput. Intell. Syst., 2010
Int. J. Appl. Metaheuristic Comput., 2010
Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules.
Fundam. Informaticae, 2010
Domains of competence of fuzzy rule based classification systems with data complexity measures: A case of study using a fuzzy hybrid genetic based machine learning method.
Fuzzy Sets Syst., 2010
Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations.
Fuzzy Sets Syst., 2010
Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP.
Expert Syst. Appl., 2010
Evol. Comput., 2010
A first study on the noise impact in classes for Fuzzy Rule Based Classification Systems.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010
A preliminary study on overlapping and data fracture in imbalanced domains by means of Genetic Programming-based feature extraction.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
A first approach for cost-sensitive classification with linguistic Genetic Fuzzy Systems in imbalanced data-sets.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010
Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010
A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010
Analysing the Hierarchical Fuzzy Rule Based Classification Systems with genetic rule selection.
Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010
A fuzzy associative classification system with genetic rule selection for high-dimensional problems.
Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010
A genetic algorithm for tuning fuzzy rule-based classification systems with Interval-Valued Fuzzy Sets.
Proceedings of the FUZZ-IEEE 2010, 2010
An extraction method for the characterization of the Fuzzy Rule Based Classification Systems' behavior using data complexity measures: A case of study with FH-GBML.
Proceedings of the FUZZ-IEEE 2010, 2010
Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems.
Proceedings of the FUZZ-IEEE 2010, 2010
A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, 2010
2009
Cardinal Consistency of Reciprocal Preference Relations: A Characterization of Multiplicative Transitivity.
IEEE Trans. Fuzzy Syst., 2009
A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems.
IEEE Trans. Fuzzy Syst., 2009
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability.
Soft Comput., 2009
Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems.
Soft Comput., 2009
Soft Comput., 2009
h-Index: A review focused in its variants, computation and standardization for different scientific fields.
J. Informetrics, 2009
A study of the use of multi-objective evolutionary algorithms to learn Boolean queries: A comparative study.
J. Assoc. Inf. Sci. Technol., 2009
A fuzzy model to evaluate the suitability of installing an enterprise resource planning system.
Inf. Sci., 2009
Visualization and evolution of the scientific structure of fuzzy sets research in Spain.
Inf. Res., 2009
Int. J. Pattern Recognit. Artif. Intell., 2009
Individual and Social Strategies to Deal with Ignorance Situations in Multi-Person Decision Making.
Int. J. Inf. Technol. Decis. Mak., 2009
Hybrid crossover operators with multiple descendents for real-coded genetic algorithms: Combining neighborhood-based crossover operators.
Int. J. Intell. Syst., 2009
Int. J. Intell. Syst., 2009
Int. J. Hybrid Intell. Syst., 2009
Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets.
Int. J. Approx. Reason., 2009
A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 Special Session on Real Parameter Optimization.
J. Heuristics, 2009
Applying multi-objective evolutionary algorithms to the automatic learning of extended Boolean queries in fuzzy ordinal linguistic information retrieval systems.
Fuzzy Sets Syst., 2009
Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms.
Fuzzy Sets Syst., 2009
Fuzzy Optim. Decis. Mak., 2009
Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems.
Evol. Intell., 2009
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data.
Expert Syst. Appl., 2009
A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests.
Expert Syst. Appl., 2009
On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets.
Expert Syst. Appl., 2009
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy.
Evol. Comput., 2009
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems.
Appl. Soft Comput., 2009
Appl. Intell., 2009
Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Addressing Data-Complexity for Imbalanced Data-Sets: A Preliminary Study on the Use of Preprocessing for C4.5.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009
A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-Sets.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets.
Proceedings of the FUZZ-IEEE 2009, 2009
An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery.
Proceedings of the FUZZ-IEEE 2009, 2009
Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection.
Proceedings of the FUZZ-IEEE 2009, 2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
On the use of Measures of Separability of Classes to Characterise the Domains of Competence of a Fuzzy Rule Based Classification System.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
Memetic algorithm with Local search chaining for large scale continuous optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008
On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection.
Proceedings of the Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008
IEEE Trans. Fuzzy Syst., 2008
A Multiobjective Evolutionary Conceptual Clustering Methodology for Gene Annotation Within Structural Databases: A Case of Study on the Gene Ontology Database.
IEEE Trans. Evol. Comput., 2008
Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes.
Pattern Recognit. Lett., 2008
Pattern Recognit., 2008
J. Multiple Valued Log. Soft Comput., 2008
Replacement strategies to preserve useful diversity in steady-state genetic algorithms.
Inf. Sci., 2008
A Note on the Estimation of Missing Pairwise Preference Values: a Uninorm Consistency Based Method.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008
Int. J. Intell. Syst., 2008
Int. J. Intell. Syst., 2008
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets.
Fuzzy Sets Syst., 2008
Evol. Intell., 2008
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection.
Expert Syst. Appl., 2008
Global and local real-coded genetic algorithms based on parent-centric crossover operators.
Eur. J. Oper. Res., 2008
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008
Proceedings of the Hybrid Metaheuristics, 5th International Workshop, 2008
Visualizing the Hybridizations between the Fuzzy Logic Field and the Other Soft-Computing Techniques.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Design of Experiments in Computational Intelligence: On the Use of Statistical Inference.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008
Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008
A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems.
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008
Proceedings of the FUZZ-IEEE 2008, 2008
2007
Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency.
IEEE Trans. Syst. Man Cybern. Part B, 2007
Cooperative Evolutionary Learning of Linguistic Fuzzy Rules and Parametric Aggregation Connectors for Mamdani Fuzzy Systems.
IEEE Trans. Fuzzy Syst., 2007
Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing.
IEEE Trans. Fuzzy Syst., 2007
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations.
IEEE Trans. Fuzzy Syst., 2007
A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction With Rule Selection.
IEEE Trans. Fuzzy Syst., 2007
Rule Base Reduction and Genetic Tuning of Fuzzy Systems Based on the Linguistic 3-tuples Representation.
Soft Comput., 2007
A Multi-Objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007
Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems.
Int. J. Intell. Syst., 2007
Int. J. Intell. Syst., 2007
Int. J. Approx. Reason., 2007
Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation.
Int. J. Approx. Reason., 2007
A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP.
Eur. J. Oper. Res., 2007
Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations.
Eur. J. Oper. Res., 2007
Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability.
Data Knowl. Eng., 2007
An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets.
Proceedings of the Applications of Fuzzy Sets Theory, 2007
Proceedings of the Computational and Ambient Intelligence, 2007
A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets.
Proceedings of the Computational and Ambient Intelligence, 2007
Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study.
Proceedings of the Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 2007
Proceedings of the FUZZ-IEEE 2007, 2007
Proceedings of the FUZZ-IEEE 2007, 2007
Proceedings of the FUZZ-IEEE 2007, 2007
A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems.
Proceedings of the FUZZ-IEEE 2007, 2007
Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule-based Classification Systems.
Proceedings of the FUZZ-IEEE 2007, 2007
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007
2006
Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling.
Soft Comput., 2006
Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies.
Eur. J. Oper. Res., 2006
On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining.
Appl. Soft Comput., 2006
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006
Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006
Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing.
Proceedings of the Advances in Data Mining, 2006
Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems.
Proceedings of the Advances in Applied Artificial Intelligence, 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems.
Proceedings of the Artificial Intelligence and Soft Computing, 2006
2005
Proceedings of the Intelligent Data Mining: Techniques and Applications, 2005
Proceedings of the Intelligent Data Mining: Techniques and Applications, 2005
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction.
IEEE Trans. Fuzzy Syst., 2005
Soft Comput., 2005
Pattern Recognit. Lett., 2005
A multigranular hierarchical linguistic model for design evaluation based on safety and cost analysis.
Int. J. Intell. Syst., 2005
Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm.
Int. J. Intell. Syst., 2005
Eur. J. Oper. Res., 2005
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems.
Eng. Appl. Artif. Intell., 2005
Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005
An Approach to Consensus Reaching in Multiperson Decision Making Problems with Incomplete Information.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Rationality of induced ordered weighted operators based on the reliability of the source of information in group decision-making.
Kybernetika, 2004
Induced ordered weighted geometric operators and their use in the aggregation of multiplicative preference relations.
Int. J. Intell. Syst., 2004
Int. J. Hybrid Intell. Syst., 2004
Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web.
Fuzzy Sets Syst., 2004
Fuzzy Sets Syst., 2004
A Learning Procedure to Estimate Missing Values in Fuzzy Preference Relations Based on Additive Consistency.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2004
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
An Empirical Analysis of Multiple Objective Ant Colony Optimization Algorithms for the Bi-criteria TSP.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004
2003
Author's reply [to comments on 'A proposal to improve the accuracy of linguistic modelling'].
IEEE Trans. Fuzzy Syst., 2003
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study.
IEEE Trans. Evol. Comput., 2003
Soft Comput., 2003
J. Intell. Manuf., 2003
A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study.
Int. J. Intell. Syst., 2003
A study of the origin and uses of the ordered weighted geometric operator in multicriteria decision making.
Int. J. Intell. Syst., 2003
Int. J. Intell. Syst., 2003
Int. J. Approx. Reason., 2003
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning.
Integr. Comput. Aided Eng., 2003
A hierarchical knowledge-based environment for linguistic modeling: models and iterative methodology.
Fuzzy Sets Syst., 2003
A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators.
Fuzzy Sets Syst., 2003
Fuzzy Sets Syst., 2003
Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models.
Proceedings of the Modelling with Words, 2003
Genetic adaption of rule connectives and conjunction operators in fuzzy rule based systems: an experimental comparative study.
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003
2002
A consensus model for multiperson decision making with different preference structures.
IEEE Trans. Syst. Man Cybern. Part A, 2002
COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules.
IEEE Trans. Syst. Man Cybern. Part B, 2002
IEEE Trans. Fuzzy Syst., 2002
A communication model based on the 2-tuple fuzzy linguistic representation for a distributed intelligent agent system on Internet.
Soft Comput., 2002
A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure.
J. Intell. Fuzzy Syst., 2002
A linguistic decision model for promotion mix management solved with genetic algorithms.
Fuzzy Sets Syst., 2002
Fuzzy Sets Syst., 2002
Proceedings of the 2002 ACM Symposium on Applied Computing (SAC), 2002
Group Decision Making Based on the Linguistic 2-Tuple Model in Heterogeneous Contexts.
Proceedings of the ICEIS 2002, 2002
Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems.
Proceedings of the ICEIS 2002, 2002
Multiple Crossover per Couple with Selection of the Two Best Offspring: An Experimental Study with the BLX-alpha Crossover Operator for Real-Coded Genetic Algorithms.
Proceedings of the Advances in Artificial Intelligence, 2002
A Prediction System for Cardiovascularity Diseases Using Genetic Fuzzy Rule-Based Systems.
Proceedings of the Advances in Artificial Intelligence, 2002
Proceedings of the Advances in Artificial Intelligence, 2002
Proceedings of the Advances in Artificial Intelligence, 2002
Proceedings of the Ant Algorithms, Third International Workshop, 2002
2001
Advances in Fuzzy Systems - Applications and Theory 19, World Scientific, ISBN: 978-981-4494-45-8, 2001
A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making.
IEEE Trans. Syst. Man Cybern. Part B, 2001
Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base.
IEEE Trans. Fuzzy Syst., 2001
IEEE Trans. Evol. Comput., 2001
Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems.
J. Intell. Fuzzy Syst., 2001
A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base.
Inf. Sci., 2001
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems.
Inf. Sci., 2001
The 2-Tuple Linguistic Computational Model. Advantages of Its Linguistic Description, Accuracy and Consistency.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001
Guest Editorial - Computing with Words: Foundations and Applications.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001
Int. J. Approx. Reason., 2001
A linguistic decision model for personnel management solved with a linguistic biobjective genetic algorithm.
Fuzzy Sets Syst., 2001
Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems.
Fuzzy Sets Syst., 2001
Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations.
Fuzzy Sets Syst., 2001
Eur. J. Oper. Res., 2001
Proceedings of the Medical Data Analysis, Second International Symposium, 2001
A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001
Proceedings of the Artificial Evolution, 2001
2000
IEEE Trans. Fuzzy Syst., 2000
IEEE Trans. Fuzzy Syst., 2000
An Approach for Combining Linguistic and Numerical Information Based on the 2-Tuple Fuzzy Linguistic Representation Model in Decision-Making.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000
Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing.
Int. J. Approx. Reason., 2000
A fusion approach for managing multi-granularity linguistic term sets in decision making.
Fuzzy Sets Syst., 2000
Linguistic decision analysis: steps for solving decision problems under linguistic information.
Fuzzy Sets Syst., 2000
Searching for basic properties obtaining robust implication operators in fuzzy control.
Fuzzy Sets Syst., 2000
Eur. J. Oper. Res., 2000
Comput. Methods Programs Biomed., 2000
Appl. Intell., 2000
Proceedings of the Parallel Problem Solving from Nature, 2000
1999
IEEE Trans. Syst. Man Cybern. Part B, 1999
MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach.
Int. J. Intell. Syst., 1999
Int. J. Approx. Reason., 1999
Solving an assignment-selection problem with verbal information and using genetic algorithms.
Eur. J. Oper. Res., 1999
Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques.
Appl. Intell., 1999
ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999
A selection method based on the 2-tuple linguistic representation model for decision-making problems with multi-granularity linguistic information.
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999
Characterisation of implication operators in fuzzy rule based systems from basic properties.
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999
1998
Inf. Sci., 1998
Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods.
Int. J. Intell. Syst., 1998
Fuzzy Sets Syst., 1998
Fuzzy Sets Syst., 1998
Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations.
Fuzzy Sets Syst., 1998
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis.
Artif. Intell. Rev., 1998
Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas.
Inteligencia Artif., 1998
Proceedings of the Parallel Problem Solving from Nature, 1998
Computing the Spanish Medium Electrical Line Maintenance Costs by means of Evolution-Based Learning Processes.
Proceedings of the Methodology and Tools in Knowledge-Based Systems, 1998
1997
IEEE Trans. Syst. Man Cybern. Part A, 1997
Linguistic measures based on fuzzy coincidence for reaching consensus in group decision making.
Int. J. Approx. Reason., 1997
Int. J. Approx. Reason., 1997
A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples.
Int. J. Approx. Reason., 1997
Fuzzy connectives based crossover operators to model genetic algorithms population diversity.
Fuzzy Sets Syst., 1997
Fuzzy Sets Syst., 1997
Fuzzy Sets Syst., 1997
1996
Dynamic and heuristic fuzzy connectives-based crossover operators for controlling the diversity and convergence of real-coded genetic algorithms.
Int. J. Intell. Syst., 1996
Fuzzy Sets Syst., 1996
Fuzzy Sets Syst., 1996
Fuzzy Sets Syst., 1996
Proceedings of the Parallel Problem Solving from Nature, 1996
Proceedings of the Parallel Problem Solving from Nature, 1996
1995
A Sequential Selection Process in Group Decision Making with a Linguistic Assessment Approach.
Inf. Sci., 1995
1994
Homogeneous Linear fuzzy Functions and Ranking Methods in fuzzy Linear Programming Problems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1994