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Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base

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3 Author(s)
Cordon, O. ; Dept. of Comput. Sci. & Artificial Intelligence, Granada Univ., Spain ; Herrera, F. ; Villar, P.

A method is proposed to automatically learn the knowledge base by finding an appropiate data base by means of a genetic algorithm while using a simple generation method to derive the rule base. Our genetic process learns the number of linguistic terms per variable and the membership function parameters that define their semantics, while a rule base generation method learns the number of rules and their composition

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Fuzzy Systems, IEEE Transactions on  (Volume:9 ,  Issue: 4 )