Jiye Liang

Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022

Fuzzy Learning Machine.

[BibT_eX]

[DOI]

Junbiao Cui

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Instance Selection: A Bayesian Decision Theory Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Deep neural network compression through interpretability-based filter pruning.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Semi-Supervised Clustering With Constraints of Different Types From Multiple Information Sources.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

MAGDM-oriented dual hesitant fuzzy multigranulation probabilistic models based on MULTIMOORA.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2021

Logic could be learned from images.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2021

Metric learning with clustering-based constraints.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2021

Graph-based semi-supervised learning via improving the quality of the graph dynamically.

[BibT_eX]

[DOI]

Mach. Learn., 2021

A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

A community detection algorithm based on graph compression for large-scale social networks.

[BibT_eX]

[DOI]

Jie Wang

Inf. Sci., 2021

k-Mnv-Rep: A k-type clustering algorithm for matrix-object data.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Semi-supervised learning with mixed-order graph convolutional networks.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Fuzzy rough discrimination and label weighting for multi-label feature selection.

[BibT_eX]

[DOI]

Neurocomputing, 2021

BIC-based node order learning for improving Bayesian network structure learning.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2021

An outlier detection algorithm for categorical matrix-object data.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

2020

Fusing Fuzzy Monotonic Decision Trees.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2020

New label propagation algorithm with pairwise constraints.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Deconvolutional neural network for image super-resolution.

[BibT_eX]

[DOI]

Feilong Cao

Kaixuan Yao

Neural Networks, 2020

基于极端评分行为的相似度计算 (New Similarity Measure Based on Extremely Rating Behavior).

[BibT_eX]

[DOI]

计算机科学, 2020

Interval-valued hesitant fuzzy multi-granularity three-way decisions in consensus processes with applications to multi-attribute group decision making.

[BibT_eX]

[DOI]

Chao Zhang

Deyu Li

Inf. Sci., 2020

Multi-granularity three-way decisions with adjustable hesitant fuzzy linguistic multigranulation decision-theoretic rough sets over two universes.

[BibT_eX]

[DOI]

Chao Zhang

Deyu Li

Inf. Sci., 2020

A fusion collaborative filtering method for sparse data in recommender systems.

[BibT_eX]

[DOI]

Inf. Sci., 2020

A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters.

[BibT_eX]

[DOI]

Inf. Fusion, 2020

A Novel Preference Measure for Multi-Granularity Probabilistic Linguistic Term Sets and its Applications in Large-Scale Group Decision-Making.

[BibT_eX]

[DOI]

Int. J. Fuzzy Syst., 2020

Multi-attribute group decision-making method based on multi-granulation weights and three-way decisions.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2020

A naive learning algorithm for class-bridge-decomposable multidimensional Bayesian network classifiers.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2020

An accelerator for the logistic regression algorithm based on sampling on-demand.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2020

Combining attribute content and label information for categorical data ensemble clustering.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2020

Sparse Subspace Clustering with Entropy-Norm.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Three-Level Optimization Model for Nonlinearly Separable Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An Information-Theoretical Framework for Cluster Ensemble.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2019

Cooperative Hybrid Semi-Supervised Learning for Text Sentiment Classification.

[BibT_eX]

[DOI]

Symmetry, 2019

An Ensemble Classification Algorithm Based on Information Entropy for Data Streams.

[BibT_eX]

[DOI]

Neural Process. Lett., 2019

Accelerating incremental attribute reduction algorithm by compacting a decision table.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2019

An accelerator for support vector machines based on the local geometrical information and data partition.

[BibT_eX]

[DOI]

Yunsheng Song

Int. J. Mach. Learn. Cybern., 2019

Local dense mixed region cutting + global rebalancing: a method for imbalanced text sentiment classification.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2019

A stratified sampling based clustering algorithm for large-scale data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

A novel edge rewiring strategy for tuning structural properties in networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

一种基于同配性的重叠蛋白质复合体检测算法 (Overlapping Protein Complexes Detection Algorithm Based on Assortativity in PPI Networks).

[BibT_eX]

[DOI]

计算机科学, 2019

基于类别随机化的随机森林算法 (Randomization of Classes Based Random Forest Algorithm).

[BibT_eX]

[DOI]

Xiaoqiang Guan

计算机科学, 2019

Protein complex detection algorithm based on multiple topological characteristics in PPI networks.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Information fusion in rough set theory : An overview.

[BibT_eX]

[DOI]

Inf. Fusion, 2019

Hierarchical division clustering framework for categorical data.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Deviation Degree: A Perspective on Score Functions in Hesitant Fuzzy Sets.

[BibT_eX]

[DOI]

Int. J. Fuzzy Syst., 2019

Sign fusion of multiple QPNs based on qualitative mutual information.

[BibT_eX]

[DOI]

Int. J. Comput. Sci. Eng., 2019

2018

An Algorithm for Clustering Categorical Data With Set-Valued Features.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

An Ensemble Clusterer of Multiple Fuzzy k-Means Clusterings to Recognize Arbitrarily Shaped Clusters.

[BibT_eX]

[DOI]

Yike Guo

IEEE Trans. Fuzzy Syst., 2018

Hesitant fuzzy linguistic rough set over two universes model and its applications.

[BibT_eX]

[DOI]

Chao Zhang

Deyu Li

Int. J. Mach. Learn. Cybern., 2018

Discernibility matrix based incremental attribute reduction for dynamic data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Local neighborhood rough set.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

A fusion probability matrix factorization framework for link prediction.

[BibT_eX]

[DOI]

Zhiqiang Wang

Ru Li

Knowl. Based Syst., 2018

A novel community detection algorithm based on simplification of complex networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

一种基于空间变换的协同过滤推荐算法 (Collaborative Filtering Recommendation Algorithm Based on Space Transformation).

[BibT_eX]

[DOI]

Lanjie Guo

计算机科学, 2018

A new distance with derivative information for functional k-means clustering algorithm.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Local rough set: A solution to rough data analysis in big data.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2018

Exploiting user-to-user topic inclusion degree for link prediction in social-information networks.

[BibT_eX]

[DOI]

Zhiqiang Wang

Ru Li

Expert Syst. Appl., 2018

A cautious ranking methodology with its application for stock screening.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

A sequential ensemble clusterings generation algorithm for mixed data.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2018

2017

Clustering ensemble selection for categorical data based on internal validity indices.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Fast density clustering strategies based on the k-means algorithm.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

A multi-view OVA model based on decision tree for multi-classification tasks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Grouping granular structures in human granulation intelligence.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Fast graph clustering with a new description model for community detection.

[BibT_eX]

[DOI]

Inf. Sci., 2017

An efficient instance selection algorithm for k nearest neighbor regression.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Local multigranulation decision-theoretic rough sets.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2017

An adaptive consensus method for multi-attribute group decision making under uncertain linguistic environment.

[BibT_eX]

[DOI]

Peng Song

Appl. Soft Comput., 2017

k-mw-modes: An algorithm for clustering categorical matrix-object data.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2017

A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes.

[BibT_eX]

[DOI]

Joshua Zhexue Huang

Appl. Math. Comput., 2017

Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Space Structure and Clustering of Categorical Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

An Approach to Cold-Start Link Prediction: Establishing Connections between Non-Topological and Topological Information.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Decision-theoretic rough sets under dynamic granulation.

[BibT_eX]

[DOI]

Yanli Sang

Knowl. Based Syst., 2016

Comparison study of orthonormal representations of functional data in classification.

[BibT_eX]

[DOI]

Yinfeng Meng

Knowl. Based Syst., 2016

A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

一种基于抽样的大规模混合数据聚类集成算法 (Clustering Ensemble Algorithm for Large-scale Mixed Data Based on Sampling).

[BibT_eX]

[DOI]

Tianjie Pang

计算机科学, 2016

Fuzzy rough approximations for set-valued data.

[BibT_eX]

[DOI]

Inf. Sci., 2016

An efficient feature selection algorithm for hybrid data.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Adaptation Approaches in Unsupervised Learning: A Survey of the State-of-the-Art and Future Directions.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

2015

Fusing Monotonic Decision Trees.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Fuzzy Granular Structure Distance.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2015

Determining decision makers' weights in group ranking: a granular computing method.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2015

Compacted decision tables based attribute reduction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

An information fusion approach by combining multigranulation rough sets and evidence theory.

[BibT_eX]

[DOI]

Inf. Sci., 2015

An improved incremental nonlinear dimensionality reduction for isometric data embedding.

[BibT_eX]

[DOI]

Xiaofang Gao

Inf. Process. Lett., 2015

A Normalized Numerical Scaling Method for the Unbalanced Multi-Granular Linguistic Sets.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

Uncertainty Measures for Multigranulation Approximation Space.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

Fuzzy-rough feature selection accelerator.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2015

Cluster validity functions for categorical data: a solution-space perspective.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2015

Methods and Practices of Three-Way Decisions for Complex Problem Solving.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Decision-Oriented Rough Set Methods.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014

A Group Incremental Approach to Feature Selection Applying Rough Set Technique.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

A simple and effective outlier detection algorithm for categorical data.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2014

A rule-extraction framework under multigranulation rough sets.

[BibT_eX]

[DOI]

Xin Liu

Int. J. Mach. Learn. Cybern., 2014

Topological approach to multigranulation rough sets.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2014

Pessimistic rough set based decisions: A multigranulation fusion strategy.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Trend analysis of categorical data streams with a concept change method.

[BibT_eX]

[DOI]

Joshua Zhexue Huang

Inf. Sci., 2014

The k-modes type clustering plus between-cluster information for categorical data.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Multigranulation decision-theoretic rough sets.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2014

Set-based granular computing: A lattice model.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2014

Preorder Information Based Attributes' Weights Learning in Multi-attribute Decision Making.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2014

A Novel Intelligent Multi-attribute Three-Way Group Sorting Method Based on Dempster-Shafer Theory.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

2013

The Impact of Cluster Representatives on the Convergence of the (K)-Modes Type Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Consistency-preserving attribute reduction in fuzzy rough set framework.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2013

Attribute reduction: A dimension incremental strategy.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2013

An accelerator for attribute reduction based on perspective of objects and attributes.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2013

Can fuzzy entropies be effective measures for evaluating the roughness of a rough set?

[BibT_eX]

[DOI]

Inf. Sci., 2013

Multigranulation rough sets: From partition to covering.

[BibT_eX]

[DOI]

Inf. Sci., 2013

Fast global k-means clustering based on local geometrical information.

[BibT_eX]

[DOI]

Inf. Sci., 2013

A weighting k-modes algorithm for subspace clustering of categorical data.

[BibT_eX]

[DOI]

Neurocomputing, 2013

Decision-relative discernibility matrices in the sense of entropies.

[BibT_eX]

[DOI]

Int. J. Gen. Syst., 2013

A novel fuzzy clustering algorithm with between-cluster information for categorical data.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2013

Attribute reduction for dynamic data sets.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2013

Contact Network Model with Covert Infection.

[BibT_eX]

[DOI]

Xiaomei Yang

Jianchao Zeng

Proceedings of the Advances in Swarm Intelligence, 4th International Conference, 2013

2012

The K -Means-Type Algorithms Versus Imbalanced Data Distributions.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2012

Determining the number of clusters using information entropy for mixed data.

[BibT_eX]

[DOI]

Pattern Recognit., 2012

A two-grade approach to ranking interval data.

[BibT_eX]

[DOI]

Peng Song

Knowl. Based Syst., 2012

Evaluation of the decision performance of the decision rule set from an ordered decision table.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2012

Distance: A more comprehensible perspective for measures in rough set theory.

[BibT_eX]

[DOI]

Ru Li

Knowl. Based Syst., 2012

A dissimilarity measure for the k-Modes clustering algorithm.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2012

A comparative study of rough sets for hybrid data.

[BibT_eX]

[DOI]

Inf. Sci., 2012

An efficient rough feature selection algorithm with a multi-granulation view.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2012

A cluster centers initialization method for clustering categorical data.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2012

Partial ordering of information granulations: a further investigation.

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., 2012

Information Granularity and Granular Structure in Decision Making.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Fuzziness-Preserving Attribute Reduction from Hybrid Data.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Variable precision multi-granulation rough set.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Feature selection for large-scale data sets in GrC.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011

Information Granularity in Fuzzy Binary GrC Model.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2011

The dynamical neighborhood selection based on the sampling density and manifold curvature for isometric data embedding.

[BibT_eX]

[DOI]

Xiaofang Gao

Pattern Recognit. Lett., 2011

An efficient accelerator for attribute reduction from incomplete data in rough set framework.

[BibT_eX]

[DOI]

Pattern Recognit., 2011

A novel attribute weighting algorithm for clustering high-dimensional categorical data.

[BibT_eX]

[DOI]

Pattern Recognit., 2011

An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2011

A data labeling method for clustering categorical data.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2011

How to organize data with measurement errors?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2011

An Efficient Fuzzy-Rough Attribute Reduction Approach.

[BibT_eX]

[DOI]

Chao Li

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Uncertainty and Feature Selection in Rough Set Theory.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Closed-Label Concept Lattice Based Rule Extraction Approach.

[BibT_eX]

[DOI]

Junhong Wang

Proceedings of the Bio-Inspired Computing and Applications, 2011

2010

Incomplete Multigranulation Rough Set.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 2010

A Framework for Clustering Categorical Time-Evolving Data.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2010

Approximation reduction in inconsistent incomplete decision tables.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2010

MGRS: A multi-granulation rough set.

[BibT_eX]

[DOI]

Inf. Sci., 2010

Comparative study of decision performance of decision tables induced by attribute reductions.

[BibT_eX]

[DOI]

Int. J. Gen. Syst., 2010

Positive approximation: An accelerator for attribute reduction in rough set theory.

[BibT_eX]

[DOI]

Artif. Intell., 2010

A heuristic method to attribute reduction for concept lattice.

[BibT_eX]

[DOI]

Junhong Wang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

On Partial Order Relations in Granular Computing.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009

A deterministic annealing algorithm for approximating a solution of the min-bisection problem.

[BibT_eX]

[DOI]

Wei Ma

Neural Networks, 2009

Set-valued ordered information systems.

[BibT_eX]

[DOI]

Inf. Sci., 2009

A new measure of uncertainty based on knowledge granulation for rough sets.

[BibT_eX]

[DOI]

Junhong Wang

Inf. Sci., 2009

A New Method for Measuring the Uncertainty in Incomplete Information Systems.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009

Knowledge structure, knowledge granulation and knowledge distance in a knowledge base.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2009

A new initialization method for categorical data clustering.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2009

An initialization method for the K-Means algorithm using neighborhood model.

[BibT_eX]

[DOI]

Guang Jiang

Comput. Math. Appl., 2009

Apply Inversion Order Number Genetic Algorithm to the Job Shop Scheduling Problem.

[BibT_eX]

[DOI]

Xiaomei Yang

Jianchao Zeng

Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing, 2009

A Time-Reduction Strategy to Feature Selection in Rough Set Theory.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

An attribute reduction approach and its accelerated version for hybrid data.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008

Research on Rough Set Theory and Applications in China.

[BibT_eX]

[DOI]

Trans. Rough Sets, 2008

Measures for evaluating the decision performance of a decision table in rough set theory.

[BibT_eX]

[DOI]

Inf. Sci., 2008

Uncertainty Measure of Rough Sets Based on a Knowledge Granulation for Incomplete Information Systems.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

Combination Entropy and Combination Granulation in Rough Set Theory.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

Consistency measure, inclusion degree and fuzzy measure in decision tables.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2008

On the evaluation of the decision performance of an incomplete decision table.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2008

Interval ordered information systems.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2008

Converse approximation and rule extraction from decision tables in rough set theory.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2008

Information granules and entropy theory in information systems.

[BibT_eX]

[DOI]

Sci. China Ser. F Inf. Sci., 2008

Consistency and Fuzziness in Ordered Decision Tables.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Change Mechanism of a Decision Table's Decision Performance caused by Attribute Reductions.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Granulation Operators on a Knowledge Base.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

2007

Study of decision implications based on formal concept analysis.

[BibT_eX]

[DOI]

Int. J. Gen. Syst., 2007

Evaluation Method for Decision Rule Sets.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2007

MGRS in Incomplete Information Systems.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

2006

Information entropy, rough entropy and knowledge granulation in incomplete information systems.

[BibT_eX]

[DOI]

Int. J. Gen. Syst., 2006

Combination Entropy and Combination Granulation in Incomplete Information System.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

A Measure Method for Indiscernibility in Imperfect Information System.

[BibT_eX]

[DOI]

Proceedings of the 2006 Joint Conference on Information Sciences, 2006

Axiomatic Approach of Knowledge Granulation in Information System.

[BibT_eX]

[DOI]

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Rough Set Approximation Based on Dynamic Granulation.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2005

2004

The Information Entropy, Rough Entropy And Knowledge Granulation In Rough Set Theory.

[BibT_eX]

[DOI]

Zhongzhi Shi

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004

2003

Rough Set Data Analysis Algorithms for Incomplete Information Systems.

[BibT_eX]

[DOI]

K. S. Chin

Proceedings of the Rough Sets, 2003

2002

Inclusion degree: a perspective on measures for rough set data analysis.

[BibT_eX]

[DOI]

Inf. Sci., 2002

The Algorithm on Knowledge Reduction in Incomplete Information Systems.

[BibT_eX]

[DOI]