José Antonio Sanz
Orcid: 0000-0002-1427-9909Affiliations:
- Universidad Publica de Navarra, Pamplona, Spain
According to our database1,
José Antonio Sanz
authored at least 83 papers
between 2009 and 2023.
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Bibliography
2023
$dC_{F}$-Integrals: Generalizing C$_{F}$-Integrals by Means of Restricted Dissimilarity Functions.
IEEE Trans. Fuzzy Syst., 2023
2022
Interval-Valued Aggregation Functions Based on Moderate Deviations Applied to Motor-Imagery-Based Brain-Computer Interface.
IEEE Trans. Fuzzy Syst., 2022
N-Dimensional Admissibly Ordered Interval-Valued Overlap Functions and Its Influence in Interval-Valued Fuzzy-Rule-Based Classification Systems.
IEEE Trans. Fuzzy Syst., 2022
Motor-Imagery-Based Brain-Computer Interface Using Signal Derivation and Aggregation Functions.
IEEE Trans. Cybern., 2022
A methodology for controlling the information quality in interval-valued fusion processes: Theory and application.
Knowl. Based Syst., 2022
A constructive framework to define fusion functions with floating domains in arbitrary closed real intervals.
Inf. Sci., 2022
Towards interval uncertainty propagation control in bivariate aggregation processes and the introduction of width-limited interval-valued overlap functions.
Fuzzy Sets Syst., 2022
2021
Inf. Sci., 2021
A wrapper methodology to learn interval-valued fuzzy rule-based classification systems.
Appl. Soft Comput., 2021
Improving Michigan-style fuzzy-rule base classification generation using a Choquet-like Copula-based aggregation function.
Proceedings of WILF 2021, 2021
Proceedings of WILF 2021, 2021
2020
CFM-BD: A Distributed Rule Induction Algorithm for Building Compact Fuzzy Models in Big Data Classification Problems.
IEEE Trans. Fuzzy Syst., 2020
A proposal for tuning the α parameter in C<sub>α </sub>C-integrals for application in fuzzy rule-based classification systems.
Nat. Comput., 2020
Inf. Sci., 2020
The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions.
Inf. Fusion, 2020
Generalized CF1F2-integrals: From Choquet-like aggregation to ordered directionally monotone functions.
Fuzzy Sets Syst., 2020
Enhancing the Efficiency of the Interval-Valued Fuzzy Rule-Based Classifier with Tuning and Rule Selection.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
A Fuzzy Reasoning Method Based on Ensembles of Generalizations of the Choquet Integral.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
2019
Improving the Performance of Fuzzy Rule-Based Classification Systems Based on a Nonaveraging Generalization of CC-Integrals Named C<sub>F<sub>1</sub>F<sub>2</sub></sub>-Integrals.
IEEE Trans. Fuzzy Syst., 2019
Multimodal Fuzzy Fusion for Enhancing the Motor-Imagery-Based Brain Computer Interface.
IEEE Comput. Intell. Mag., 2019
An Evolutionary UnderBagging Approach to Tackle the Survival Prediction of Trauma Patients: A Case Study at the Hospital of Navarre.
IEEE Access, 2019
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
Analyzing the performance of different fuzzy measures with generalizations of the Choquet integral in classification problems.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
2018
<i>C<sub>F</sub></i>-integrals: A new family of pre-aggregation functions with application to fuzzy rule-based classification systems.
Inf. Sci., 2018
Neurocomputing, 2018
CHI-BD: A fuzzy rule-based classification system for Big Data classification problems.
Fuzzy Sets Syst., 2018
Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems.
Appl. Soft Comput., 2018
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018
Applying aggregation and pre-aggregation functions in the classification of grape berries.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
2017
CC-integrals: Choquet-like Copula-based aggregation functions and its application in fuzzy rule-based classification systems.
Knowl. Based Syst., 2017
A decision tree based approach with sampling techniques to predict the survival status of poly-trauma patients.
Int. J. Comput. Intell. Syst., 2017
A new survival status prediction system for severe trauma patients based on a multiple classifier system.
Comput. Methods Programs Biomed., 2017
IVOVO: A new interval-valued one-vs-one approach for multi-class classification problems.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
A global distributed approach to the Chi et al. fuzzy rule-based classification system for big data classification problems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Analyzing the Behavior of Aggregation and Pre-aggregation Functions in Fuzzy Rule-Based Classification Systems with Data Complexity Measures.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017
Proceedings of the Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017
CMin-Integral: A Choquet-Like Aggregation Function Based on the Minimum t-Norm for Applications to Fuzzy Rule-Based Classification Systems.
Proceedings of the Aggregation Functions in Theory and in Practice, 2017
2016
IEEE Trans. Fuzzy Syst., 2016
Inf. Sci., 2016
Fuzzy Rule-Based Classification Systems for multi-class problems using binary decomposition strategies: On the influence of n-dimensional overlap functions in the Fuzzy Reasoning Method.
Inf. Sci., 2016
Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC).
Int. J. Approx. Reason., 2016
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
A Proposal for Tuning the Alpha Parameter in a Copula Function Applied in Fuzzy Rule-Based Classification Systems.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
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
Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies.
IEEE Trans. Fuzzy Syst., 2015
Proceedings of the Modeling Decisions for Artificial Intelligence, 2015
A family of Choquet-based non-associative aggregation functions for application in fuzzy rule-based classification systems.
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
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
Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015
2014
J. Multiple Valued Log. Soft Comput., 2014
Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system.
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
A preliminary study on fingerprint classification using fuzzy rule-based classification systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2013
Construction of Interval Type-2 Fuzzy Sets From Fuzzy Sets: Methods and Applications.
Proceedings of the Advances in Type-2 Fuzzy Sets and Systems - Theory and Applications, 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
Knowl. Based Syst., 2013
Fuzzy Sets Syst., 2013
Using the Choquet Integral in the Fuzzy Reasoning Method of Fuzzy Rule-Based Classification Systems.
Axioms, 2013
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013
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
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
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
Proceedings of the Eurofuse 2011, 2011
Proceedings of the Advances in Artificial Intelligence, 2011
2010
Comment on: "Image thresholding using type II fuzzy sets". Importance of this method.
Pattern Recognit., 2010
Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning.
Inf. Sci., 2010
A genetic algorithm for tuning fuzzy rule-based classification systems with Interval-Valued Fuzzy Sets.
Proceedings of the FUZZ-IEEE 2010, 2010
2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 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
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009