Performance evaluation of fuzzy rule-bas
β
Hisao Ishibuchi; Tadahiko Murata; Mitsuo Gen
π
Article
π
1998
π
Elsevier Science
π
English
β 279 KB
In this paper, we examine the classification performance of fuzzy if-then rules selected by a GA-based multi-objective rule selection method. This rule selection method can be applied to high-dimensional pattern classification problems with many continuous attributes by restricting the number of ant