Fuzzy Modeling by Fuzzy Clustering and Locally Weighted Regression

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  • WATANABE Norio
    Department of Industrial and Systems Engineering, Chuo University

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  • ファジィクラスタリングと局所的重み付き回帰によるファジィモデリング
  • ファジィクラスタリング ト キョクショテキ オモミツキ カイキ ニヨル ファジ

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Abstract

A method of identification from input-output data is proposed for a fuzzy model in which the premise part of an if-then rule has a generalized form of the Takagi-Sugeno's fuzzy model This method consists of locally weighted regression for each observation and fuzzy clustering with respect to sample regression coefficients. Efficacy of the proposed method is demonstrated through numerical examples and an application to real data.

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