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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/J Automat Inf Scien.v38.i11.40
pages 36-44

Fuzzy Identification on the Basis of Regression Models of Parametric Membership Function

Sergey D. Shtovba
Vinnitsa National Technical University, Ukraine

RESUMO

A new structure of fuzzy regression model is suggested. Here, a fuzzy number with parametric membership function is set into correspondence to each point of factor space. Dependence of parameters of this membership function on affecting factors is described by well-defined regression models. Regression coefficients are determined by a fuzzy learning sampling.


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