Journal of Automation and Information Sciences

ISSN for PRINT: 1064-2315

For Online Access

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2006, Volume38

Issue 11

83 pages

DOI: 10.1615/J Automat Inf Scien.v38.i11

Issue price - $238.00

Sergey D. Shtovba
Vinnitsa National Technical University, Ukraine

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.

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

Article price - $35.00

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