Abstract :
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.
