On fuzzy-rough attribute selection: Criteria of Max-Dependency, Max-Relevance, Min-Redundancy, and Max-Significance

Pradipta Maji; Partha Garai

doi:10.1016/j.asoc.2012.09.006

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On fuzzy-rough attribute selection: Criteria of Max-Dependency, Max-Relevance, Min-Redundancy, and Max-Significance

Pradipta Maji Partha Garai

Year: 2012 Journal: Applied Soft Computing Vol: 13 (9)Pages: 3968-3980 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2012.09.006

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Keywords:

Rough set Data mining Feature selection Computer science Artificial intelligence Redundancy (engineering) Support vector machine Dominance-based rough set approach Fuzzy set Fuzzy logic Pattern recognition (psychology) Relevance (law) Dependency (UML) Generalization Mathematics Machine learning

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Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Multi-Criteria Decision Making

Social Sciences → Decision Sciences → Management Science and Operations Research

On fuzzy-rough attribute selection: Criteria of Max-Dependency, Max-Relevance, Min-Redundancy, and Max-Significance

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