An approach for solving a fuzzy multiobjective programming problem
We present an approach for solving a fuzzy multiobjective program. It is based on the Nearest Interval Approximation (NIA) Operator. K.K.T like conditions of efficiency have been obtained for the resulting program. To solve our problem, we first replace fuzzy values by their NIA counterparts. After this, we make use of obtained efficiency conditions to generate the solution.
multiobjective programming nearest interval approximation fuzzy numbers pareto optimality k.k.t conditions gh-differentiability