Multiobjective Formulations of Fuzzy Rule-Based Classification System Design
نویسندگان
چکیده
We examine several formulations of fuzzy rule selection for the design of fuzzy rulebased classification systems in our twostage approach. The first stage is heuristic rule extraction where a large number of candidate rules are extracted. The second stage is evolutionary rule selection where fuzzy rule-based systems are constructed by choosing a small number of candidate rules. Rule selection is formulated as single-, two-, and three-objective optimization problems using an accuracy measure and two complexity measures.
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