This paper presents a Fuzzy Classifier Sys-tem(FCS) which can discover fuzzy rules efficiently. The system translates human's knowledge into symbolic information, and effectively limits its search space for the fuzzy rules by utilizing the symbols. The system can also extracts symbolic information from the acquired fuzzy rules for efficient exploration of another new fuzzy rules. Simulations are done to demonstrate the capability of the proposed method.
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