Abstract
In this paper a new method for fuzzy models identification is presented. The algorithm is based on an iterative procedure and determines the optimal membership functions through the minimization of the root mean square error. Using illustrative examples the new method is evaluated and compared with the identification algorithm of Sugeno and Yasukawa, and the Horikawa algorithm.
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