Structure Determination in Fuzzy Modeling : A Fuzzy CART ApproachJyh - Shing
نویسنده
چکیده
This paper presents an innovative approach to the structure determination problem in fuzzy modeling. By using the well-known CART (classiication and regression tree) algorithm as a quick preprocess, the proposed method can roughly estimate the structure (numbers of membership functions and number of fuzzy rules, etc.) of a fuzzy inference system; then the parameter identiication is carried out by the hybrid learning scheme developed in our previous work 3, 2, 5]. Morevoer, the identiied fuzzy inference system has the property that the total of ring strengths is always equal to one; this speeds up learning processes and reduces round-oo errors.
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