Fuzzy Classifier Design using Modified Genetic Algorithm

Development of fuzzy if- then rules and formation of membership functions are the important consideration in designing a fuzzy classifier system. This paper presents a Modified Genetic Algorithm (ModGA) approach to obtain the optimal rule set and the membership function for a fuzzy classifier. In th...

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Autore principale: P.Ganesh Kumar
Natura: Artigo
Lingua:Inglês
Pubblicazione: Springer 2010-09-01
Serie:International Journal of Computational Intelligence Systems
Soggetti:
Fuzzy Classifier
If-then-Rules
Membership function
Genetic Algorithm.
Accesso online:https://www.atlantis-press.com/article/1974.pdf
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