DocumentCode
315320
Title
Diagnosis of fuzzy system character: system identification of composite operation and fuzzy relation by genetic algorithms
Author
Ohtani, Shinobu ; Kikuchi, Hiroaki ; Yager, Ronald R. ; Nakanishi, Shohachiro
Author_Institution
Dept. of Electr. Eng., Tokai Univ., Kanagawa, Japan
Volume
1
fYear
1997
fDate
1-5 Jul 1997
Firstpage
293
Abstract
To model a fuzzy system using inference, it is necessary to identify both the composite operation and fuzzy relation precisely. Many composite operations and fuzzy relations may satisfy any given input and output data. We therefore propose a method to determine unique composite operation and fuzzy relation under the operation, which means diagnosis of fuzzy system character, by the genetic algorithm
Keywords
fuzzy systems; genetic algorithms; identification; inference mechanisms; large-scale systems; modelling; composite operation; fuzzy relation; fuzzy system character diagnosis; genetic algorithms; inference; system identification; Educational institutions; Equations; Fuzzy sets; Fuzzy systems; Genetic algorithms; Genetic engineering; Machine intelligence; Mathematical model; Power system modeling; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location
Barcelona
Print_ISBN
0-7803-3796-4
Type
conf
DOI
10.1109/FUZZY.1997.616384
Filename
616384
Link To Document