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

Authors:
O. Cordon;F. Herrera;P. Villar
Affiliations:
Dept. of Comput. Sci. & Artificial Intelligence, Granada Univ.;-;-
Venue:
IEEE Transactions on Fuzzy Systems
Year:
2001

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Abstract

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