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
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;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.616384
