An Efficient Method for Solving a Class of Nonlinear Fuzzy Optimization Problems

In this paper, a new method is presented for solving nonlinear fuzzy optimization problems (NFOP) where all coefficients of the problem are triangular fuzzy numbers. First, we convert NFOP problem to an interval nonlinear programming problem (INP) by -cuts and in general case, we determine INP based on . 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.