DocumentCode
2274269
Title
Suppression of excessive fuzziness using multiple fuzzy classifier systems
Author
Furuhashi, Takeshi ; Nakaoka, Ken ; Uchikawa, Yoshiki
Author_Institution
Dept. of Inf. Electron., Nagoya Univ., Japan
fYear
1994
fDate
26-29 Jun 1994
Firstpage
411
Abstract
This paper presents a method for controlling excessive fuzziness in a fuzzy classifier system. The proposed method uses multiple stimulus-response type classifier systems and is capable of handling complex control tasks. Simulations are done to show the effectiveness of the proposed method for acquiring control knowledge
Keywords
fuzzy control; knowledge acquisition; knowledge based systems; pattern classification; complex control tasks; control knowledge; excessive fuzziness supression; multiple fuzzy classifier systems; multiple stimulus-response type classifier systems; Angular velocity; Control systems; Electric variables control; Electronic mail; Fuzzy control; Fuzzy systems; Machine learning; Marine vehicles; Velocity control; Virtual reality;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343751
Filename
343751
Link To Document