Neural network technique for fuzzy multiobjective linear programming

Neural Network (NN) is well-known as one of powerful computing tools to solve Optimization problems. Due to the massive computing unit-neurons and parallel mechanism of neural network approach we can solve the large-scale problem efficiently and optimal solution can be gotten. In this paper, we introduce improvement of the two-phase approach for solving fuzzy multiobjective linear programming problem with both fuzzy objectives and constraints and we propose a new neural network technique for solving fuzzy multiobjective linear programming problems. The procedure and efficiency of this approach are shown with numerical simulations.