An efficient method for solving a class of nonlinear fuzzy optimization problems

Authors

  • Abbas Akrami Applied Mathematics, Yazd University
  • Mohammad Mahdi Hoseini
  • Mehdi Karbassi

DOI:

https://doi.org/10.30495/jme.v10i0.415

Keywords:

Fuzzy nonlinear optimization, Interval non-

Abstract

Abstract.

alpha-cuts and in general case, we determine INP based on alpha. Then by solving INP model the optimal solution of the main problem is obtained. To illustrate the proposed method numerical examples are solved and the obtained results are discussed.

 

 

 

In this paper, a new method is presented for solving nonlinear fuzzy optimization problems (NFOP) where all the coecients of the problem are triangular fuzzy numbers. First, we convert NFOP problem to interval nonlinear programming problem (INP) by

Author Biographies

Abbas Akrami, Applied Mathematics, Yazd University

 

 

 

Mohammad Mahdi Hoseini

Department of Applied Mathematics, Full professor of Applied Mathematics

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Published

2016-04-15

Issue

Vol. 10

Section

Vol. 10, No. 2, (2016)

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