Evaluation of fuzzy regression models by fuzzy neural network

Authors:
M. Mosleh;M. Otadi;S. Abbasbandy
Affiliations:
Department of Mathematics, Islamic Azad University, Firuozkooh Branch, Firuozkooh, Iran;Department of Mathematics, Islamic Azad University, Firuozkooh Branch, Firuozkooh, Iran;Department of Mathematics, Islamic Azad University, Science and Research Branch, Tehran 14515/775, Iran
Venue:
Journal of Computational and Applied Mathematics
Year:
2010

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Abstract

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.