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Rule extraction for fuzzy modeling

✍ Scribed by Ching-Chang Wong; Nine-Shen Lin

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
432 KB
Volume
88
Category
Article
ISSN
0165-0114

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✦ Synopsis

In this paper, a method based on genetic algorithms is proposed to automatically extract fuzzy rules to identify a system where only its input-output data are available. This method can determine a fuzzy system with fewer fuzzy rules as well as the antecedent and consequent parameters of the fuzzy rules at the same time. A nonlinear system is utilized to illustrate the efficiency of the proposed method in the rule extraction for fuzzy modeling.

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