Axiomatics for fuzzy rough sets
Fuzzy Sets and Systems
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Density-Based Multiscale Data Condensation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Sciences—Informatics and Computer Science: An International Journal
An axiomatic characterization of a fuzzy generalization of rough sets
Information Sciences—Informatics and Computer Science: An International Journal
Combining Feature Reduction and Case Selection in Building CBR Classifiers
IEEE Transactions on Knowledge and Data Engineering
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Pattern Recognition Letters
New approaches to fuzzy-rough feature selection
IEEE Transactions on Fuzzy Systems
A rough set-based case-based reasoner for text categorization
International Journal of Approximate Reasoning
Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach
IEEE Transactions on Knowledge and Data Engineering
Regularized margin-based conditional log-likelihood loss for prototype learning
Pattern Recognition
On the generalization of fuzzy rough sets
IEEE Transactions on Fuzzy Systems
Fuzzy rule induction in a set covering framework
IEEE Transactions on Fuzzy Systems
Attributes Reduction Using Fuzzy Rough Sets
IEEE Transactions on Fuzzy Systems
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Fuzzy rough sets are widely studied and applied in the domain of machine learning and data mining these years. In this work, we design a case-based classifier with fuzzy rough set theory. The new classifier takes lower approximation of fuzzy rough sets as the theoretic foundation of selecting cases and case reasoning. Some numerical experiments are conducted to show the effectiveness of the proposed algorithm.