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Evaluation of fuzzy regression models by fuzzy neural network

✍ Scribed by M. Mosleh; M. Otadi; S. Abbasbandy

Publisher: Elsevier Science
Year: 2010
Tongue: English
Weight: 378 KB
Volume: 234
Category: Article
ISSN: 0377-0427
DOI: 10.1016/j.cam.2010.01.046

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✦ Synopsis

a b s t r a c t

In this paper, a novel hybrid method based on fuzzy neural network for approximate fuzzy coefficients (parameters) of fuzzy linear and nonlinear regression models with fuzzy output and crisp inputs, is presented. Here a neural network is considered as a part of a large field called neural computing or soft computing. Moreover, in order to find the approximate parameters, a simple algorithm from the cost function of the fuzzy neural network is proposed. Finally, we illustrate our approach by some numerical examples.

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