Title :
A study on apportionment of credits of fuzzy classifier system for knowledge acquisition of large scale systems
Author :
Nakaoka, Ken ; Furuhashi, Takeshi ; Uchikawa, Yoshiki
Author_Institution :
Dept. of Inf. Electron., Nagoya Univ., Japan
Abstract :
This paper studies a knowledge acquisition of large scale systems using a fuzzy classifier system (FCS). A new method for apportionment of credits is proposed in this paper. The new method makes it possible to fully utilize the feature of the genetic algorithm, i.e. the effects of the crossover operator. Simulations to obtain avoiding rules of a ship are done to show that the FCS can acquire fuzzy rules for complex tasks
Keywords :
fuzzy systems; genetic algorithms; knowledge acquisition; large-scale systems; credit apportionment; crossover operator; fuzzy classifier system; genetic algorithm; knowledge acquisition; large scale systems; navigational avoidance rules; ship; Electrical equipment industry; Electronic mail; Fuzzy control; Fuzzy sets; Fuzzy systems; Genetic algorithms; Industrial control; Knowledge acquisition; Large-scale systems; Marine vehicles;
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.1994.343587
