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

Authors

  • Mahmood Otadi
  • Maryam Mosleh

DOI:

https://doi.org/10.30495/jme.v0i0.77

Keywords:

Fuzzy neural networks, Fuzzy number, learn- ing algorithm

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.

Author Biographies

Mahmood Otadi

Department of Mathematics Assistant Professor of Mathematics Islamic Azad University-Firoozkooh Branch Firoozkooh, Iran

Maryam Mosleh

Department of Mathematics Assistant Professor of Mathematics Islamic Azad University-Firoozkooh Branch Firoozkooh, Iran

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Published

2011-05-01

Issue

Vol 5 (2010-2011)

Section

Vol. 5, No. 2(1), (2011)

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