Unsupervised Optimal Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Induction of fuzzy decision trees
Fuzzy Sets and Systems
Information Sciences: an International Journal
Fuzzy Sets and Systems
Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory
Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
A comparative study of fuzzy rough sets
Fuzzy Sets and Systems
Rough sets and intelligent data analysis
Information Sciences—Informatics and Computer Science: An International Journal
On fuzzy-rough sets approach to feature selection
Pattern Recognition Letters
Shadowed sets: representing and processing fuzzy sets
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Comments on “A possibilistic approach to clustering”
IEEE Transactions on Fuzzy Systems
A possibilistic approach to clustering
IEEE Transactions on Fuzzy Systems
On cluster validity for the fuzzy c-means model
IEEE Transactions on Fuzzy Systems
Mixed feature selection based on granulation and approximation
Knowledge-Based Systems
Compact Rule Learner on Weighted Fuzzy Approximation Spaces for Class Imbalanced and Hybrid Data
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Discernibility matrix simplification for constructing attribute reducts
Information Sciences: an International Journal
New approaches to fuzzy-rough feature selection
IEEE Transactions on Fuzzy Systems
Fuzzy Sets and Systems
Are more features better? a response to attributes reduction using fuzzy rough sets
IEEE Transactions on Fuzzy Systems
Positive approximation: An accelerator for attribute reduction in rough set theory
Artificial Intelligence
Positive approximation and converse approximation in interval-valued fuzzy rough sets
Information Sciences: an International Journal
Rule extraction based on granulation order in interval-valued fuzzy information system
Expert Systems with Applications: An International Journal
Dominance-based fuzzy rough approach to an interval-valued decision system
Frontiers of Computer Science in China
Valued dominance-based rough set approach to incomplete information system
Transactions on computational science XIII
An efficient fuzzy-rough attribute reduction approach
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Rough sets in the Soft Computing environment
Information Sciences: an International Journal
A fuzzy-rough sets based compact rule induction method for classifying hybrid data
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Explicit rough-fuzzy pattern classification model
Pattern Recognition Letters
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Based on some properties of fuzzy t-norm and t-conorm operators, the concept of fuzzy-rough sets on compact computational domain has been put forward. Various mathematical properties of this new definition of fuzzy-rough sets are discussed from pattern classification viewpoint. It is established that the proposed approach identifies various patterns in the sense of fuzzy-roughness, in addition to providing deeper insight into various concepts of fuzzy-rough sets.