Abstract
This paper studies a knowledge finding method for large scale systems using a Fuzzy Classifier System (FCS). New payoffs and a new method for apportionment of credits for the FCS 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 find rules avoiding mutual collision for a ship are done to show that the FCS can find fuzzy rules for complex tasks.
