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Hybrid fuzzy-rough rule induction and feature selection
2009
2009 IEEE International Conference on Fuzzy Systems
The automated generation of feature patternbased if-then rules is essential to the success of many intelligent pattern classifiers, especially when their inference results are expected to be directly human-comprehensible. Fuzzy and rough set theory have been applied with much success to this area as well as to feature selection. Since both applications of rough set theory involve the processing of equivalence classes for their successful operation, it is natural to combine them into a single
doi:10.1109/fuzzy.2009.5277058
dblp:conf/fuzzIEEE/JensenCS09
fatcat:i6263vsq2ve5bnbswgvuvaa5oy