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Influence of Defuzzification Methods on the Rate of Tuning a Fuzzy Model

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Abstract

The results of computer experiments performed to determine the influence of defuzzification methods on the rate of tuning fuzzy models are presented. The experiments were conducted for the defuzzification methods of the center of gravity and center of maxima and for the median method. The defuzzification method of the center of gravity was found to be the best method providing the highest tuning rate and exactness.

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Authors and Affiliations

  1. Jerusalem Polytechnic Institute Makhol Lev, Jerusalem, Israel

    A. P. Rotshtein

  2. Vinnitsa State Technical University, Vinnitsa, Ukraine

    S. D. Shtovba

Authors
  1. A. P. Rotshtein
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  2. S. D. Shtovba
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Rotshtein, A.P., Shtovba, S.D. Influence of Defuzzification Methods on the Rate of Tuning a Fuzzy Model. Cybernetics and Systems Analysis 38, 783–789 (2002). https://doi.org/10.1023/A:1021851228684

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  • DOI: https://doi.org/10.1023/A:1021851228684

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