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Browse Journals & Magazines > Fuzzy Systems, IEEE Transacti ...> Volume:9 Issue:4 Help

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

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

Date of Publication: Aug 2001

Page(s):
667 - 674
ISSN :
1063-6706
INSPEC Accession Number:
7022488
Digital Object Identifier :
10.1109/91.940977
Product Type:
Journals & Magazines
Date of Current Version :
07 August 2002
Issue Date :
Aug 2001
Sponsored by :
IEEE Computational Intelligence Society

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