Journal article
A genetic algorithm for generating fuzzy classification rules
Abstract
Fuzzy classification systems based on fuzzy logic are capable of dealing with cognitive uncertainties such as vagueness and ambiguity involved in classification problems. To build a fuzzy classification system, the key is to find an optimal set of fuzzy rules. Machine learning methods such as fuzzy neural networks and fuzzy decision tree induction have been applied to learn fuzzy rules but they may be trapped into local optimal. Based on the …
Authors
Yuan Y; Zhuang H
Journal
Fuzzy Sets and Systems, Vol. 84, No. 1, pp. 1–19
Publisher
Elsevier
Publication Date
November 1996
DOI
10.1016/0165-0114(95)00302-9
ISSN
0165-0114