An interval nonlinear programming approach for solving a class of unconstrained nonlinear fuzzy optimization problems

. In this paper, an interval programming method is presented for solving unconstrained nonlinear fuzzy optimization problems where all the coefficients of the objective function are triangular fuzzy numbers. First, we convert unconstrained nonlinear fuzzy optimization problems unconstrained interval nonlinear programming problem by α-cuts. Then by solving the unconstrained interval nonlinear programming model, the optimal solution of the main problem will be obtained. To illustrate the proposed method numerical examples are solved and the obtained results are discussed