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
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;
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
DOI :
10.1109/FUZZY.1994.343751
