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IEEE Transactions on Automatic Control, ISSN 0018-9286, 07/2011, Volume 56, Issue 7, pp. 1684 - 1690
Journal Article
Artificial Intelligence, ISSN 0004-3702, 2010, Volume 174, Issue 9, pp. 597 - 618
Feature selection is a challenging problem in areas such as pattern recognition, machine learning and data mining. Considering a consistency measure introduced... 
Rough set theory | Granular computing | Positive approximation | Attribute reduction | Decision table | DIMENSIONALITY | KNOWLEDGE REDUCTION | DECISION TABLES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | FEATURE-SELECTION | INFORMATION GRANULATION | UNCERTAINTY | SYSTEMS | ENTROPY | Reduction | Algorithms | Approximation | Accelerators | Mathematical analysis | Set theory | Data mining | Heuristic
Journal Article
Theoretical Computer Science, ISSN 0304-3975, 05/2020, Volume 817, p. 80
Journal Article
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 02/2014, Volume 26, Issue 2, pp. 294 - 308
Journal Article
Theoretical Computer Science, ISSN 0304-3975, 2019
We are very grateful to Professors M. Yannakakis, C. Papadimitriou and Q. Qi for their valuable comments on the paper. Consequently, we have found out that our... 
Journal Article
Mathematical Programming, ISSN 0025-5610, 08/2019, pp. 1 - 33
The notion of perfect equilibrium was formulated by Selten (Int J Game Theory 4(1):25–55, 1975) as a strict refinement of Nash equilibrium. For an... 
Economic models | Mapping | Game theory | Equilibrium
Journal Article
Computational Optimization and Applications, ISSN 0926-6003, 11/2018, Volume 71, Issue 2, pp. 381 - 402
Journal Article
Games and Economic Behavior, ISSN 0899-8256, 2018
As a strict refinement of Nash equilibrium, the concept of perfect equilibrium was formulated and extensively studied in the literature. To determine perfect... 
Noncooperative game | Perfect equilibrium | Nash equilibrium | Quantal response equilibrium | Smooth path
Journal Article
Information Sciences, ISSN 0020-0255, 2010, Volume 180, Issue 6, pp. 949 - 970
The original rough set model was developed by Pawlak, which is mainly concerned with the approximation of sets described by a single binary relation on the... 
Multi-granulation | Measures | Rough sets | Attribute reduction | Rule extraction | DECISION PERFORMANCE | INCLUSION DEGREE | APPROXIMATION | KNOWLEDGE GRANULATION | INFORMATION GRANULATION | UNCERTAINTY | COMPUTER SCIENCE, INFORMATION SYSTEMS
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 10/2016, Volume 27, Issue 10, pp. 2047 - 2059
Journal Article
IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 04/2011, Volume 19, Issue 2, pp. 253 - 264
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 01/2013, Volume 13, Issue 1, pp. 676 - 689
[Display omitted] ► This paper focuses on attribute reduction for data sets with dynamically varying data values. ► The new feature subset can be updated in a... 
Dynamic data sets | Information entropy | Rough sets | Attribute reduction | DECISION PERFORMANCE | APPROXIMATION | KNOWLEDGE | GRANULATION | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | UNCERTAINTY | INFORMATION-SYSTEMS | SELECTION | FUZZY-ROUGH SETS | ENTROPY
Journal Article
Artificial Intelligence, ISSN 0004-3702, 08/2019, Volume 273, pp. 37 - 55
The objective of clustering ensemble is to find the underlying structure of data based on a set of clustering results. It has been observed that the samples... 
Clustering ensemble | Clustering analysis | Ensemble learning | Sample's stability | CONSENSUS | DIVERSITY | COMBINATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Algorithms | Information management | Image processing | Analysis | Datasets | Image segmentation | Data sets | Sampling methods | Statistical methods | Clustering
Journal Article
Computers and Mathematics with Applications, ISSN 0898-1221, 2008, Volume 56, Issue 8, pp. 1994 - 2009
Interval information systems are generalized models of single-valued information systems. By introducing a dominance relation to interval information systems,... 
Interval decision tables | Dominance relation | Interval information systems | Rough sets | Attribute reduction | ATTRIBUTES | MATHEMATICS, APPLIED | APPROXIMATION | ROUGH SET-THEORY | UNCERTAINTY | GRANULATION | RULES | Intervals | Computer simulation | Decision making | Knowledge representation | Dominance | Tables | Mathematical models | Information systems
Journal Article
Information Sciences, ISSN 0020-0255, 2009, Volume 179, Issue 16, pp. 2809 - 2832
Set-valued ordered information systems can be classified into two categories: disjunctive and conjunctive systems. Through introducing two new dominance... 
Dominance relation | Criteria reduction | Set-valued ordered information systems | Set-valued ordered decision tables | Rough set | DECISION PERFORMANCE | INCLUSION DEGREE | ATTRIBUTES | APPROXIMATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | GRANULATION | KNOWLEDGE ACQUISITION | ROUGH | REDUCTION | UNCERTAINTY | RULES | Decision-making
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 03/2019, Volume 28, Issue 3, pp. 1149 - 1162
Journal Article
Computational Economics, ISSN 0927-7099, 10/2019, Volume 54, Issue 3, pp. 877 - 891
Journal Article
Pattern Recognition, ISSN 0031-3203, 2011, Volume 44, Issue 8, pp. 1658 - 1670
Journal Article
Knowledge-Based Systems, ISSN 0950-7051, 01/2019, Volume 163, pp. 416 - 428
Large-scale data analysis is a challenging and relevant task for present-day research and industry. As a promising data analysis tool, clustering is becoming... 
Stratified sampling | Large-scale data | Data labeling | Fuzzy [formula omitted]-means algorithm | Fuzzy c-means algorithm | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Algorithms | Information management | Fuzzy logic | Fuzzy sets | Data analysis | State of the art | Data management | Data sets | Approximations | Clustering | Computing time | Sampling
Journal Article