New Type of Takagi-Sugeno Fuzzy Inference System as Universal Approximator

lgor Anikin; lgor Zinoviev

doi:10.4028/www.scientific.net/AMM.598.453

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 598New Type of Takagi-Sugeno Fuzzy Inference System...

New Type of Takagi-Sugeno Fuzzy Inference System as Universal Approximator

Abstract:

A new type of fuzzy inference systems (FIS) is presenting. It is based on Takagi-Sugeno fuzzy inference system. New FIS has been called the enhanced fuzzy regression (EFR). In opposition to the Takagi-Sugeno, new type of FIS has fuzzy coefficients in right parts of the fuzzy rules. Fuzzy approximation theorem has been proved for the EFR. We have suggested learning procedure for EFR inference system.

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Periodical:

Applied Mechanics and Materials (Volume 598)

Pages:

453-458

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.598.453

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Online since:

July 2014

Authors:

lgor Anikin*, lgor Zinoviev

Keywords:

Fuzzy Logic, Fuzzy Regression, Takagi-Sugeno Fuzzy Inference System

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* - Corresponding Author

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