Solving Fuzzy Linear System by Fuzzy Neural Network and Applications in Economics

Abstract

In this paper, a novel hybrid method based on fuzzy neural network for estimate fuzzy coefficients (parameters) of fuzzy linear supply and demand function, 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.