A new approach to acquisition of comprehensible fuzzy rules
نویسندگان
چکیده
This paper presents a new approach to acquisition of comprehensible fuzzy rules for fuzzy modeling from data using evolutionary programming(EP). For the accuracy of the model, it is e ective to allow overlapping of membership functions with each other in the fuzzy model. From the viewpoint of knowledge acquisition, it is desirable that the model has a smaller number of membership functions with less overlaps. Considering the trade-o between the precision and the clarity of the fuzzy model, this paper presents an acquisition method of comprehensible fuzzy rules from the identi ed model which satis es the desired accuracy. The precise model is to be obtained by, for example, fuzzy neural network(FNN) using EP. A numerical experiment is done to show the feasibility of the proposed method.
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