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

Abbas Akrami, Mohammad Mahdi Hoseini, Mehdi Karbassi

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


Keywords


Fuzzy nonlinear optimization, Interval non-

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