S.H Nasseri - Department of Mathematics, University of Mazandaran, Babolsar, Iran.
G.A Ramzannia-Keshteli - Department of Mathematics, University of Mazandaran, Babolsar, Iran.

We propose a new algorithm to solve multi-objective fuzzy linear programming problem. Although various models in the literature have been introduced, but we concentrate a multiobjective linear programming model with flexible constraints. For solving the introduced model,we propose a new approach ,where using different cuts, allows the original problem reduced to the crisp multi-parametric multi-objective linear programming problems. The mentioned approach first uses a two phase method to obtain an optimal solution for every objective and then,the optimal pareto solution for the reduced multi parametric multi-objective linear programming can be found by revised multi-choice goal programming model. This approach will be illustrated by a numerical example

multi-objective, fuzzy flexible, multi-parametric, revised multi choice