DocumentCode :
354029
Title :
Fuzzy reasoning based on genetic algorithms
Author :
Jianwu, Li ; Jisong, Kou ; MinQiang, Li
Author_Institution :
Inst. of Syst. Eng., Tianjin Univ., China
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1854
Abstract :
In this paper, a kind of fuzzy reasoning based on genetic algorithms (GA) is introduced. The fuzzy reasoning system uses genetic algorithms to adjust weights of all reasoning rules synthetically. At last, the results of computer simulations also reveal that GA is effective and practical in optimizing those weights
Keywords :
fuzzy logic; genetic algorithms; inference mechanisms; GA; fuzzy reasoning; genetic algorithms; optimization; Computer simulation; Fuzzy reasoning; Genetic algorithms; Genetic engineering; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.862796
Filename :
862796
Link To Document :
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