Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
نویسندگان
چکیده
A new method is proposed to automatically learn the knowledge base (KB) by finding an appropiate data base (DB) by means of a genetic algorithm while using a simple generation method to derive the rule base (RB). 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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عنوان ژورنال:
- IEEE Trans. Fuzzy Systems
دوره 9 شماره
صفحات -
تاریخ انتشار 2001