Two-phase approach for solving the fuzzy linear programming problems

We propose a two-phase approach to solve the fuzzy linear programming problem. Although several methods in the literature have been proposed to treat this problem, the two-phase approach has the merit stated as: if the decision maker is seeking an efficient solution which can improve the max-min operators' solution so that each membership degree should be improved, then the two-phase method automatically attains this desire if there is room to improve. An interpretation of this result is that the two-phase method not just pursue the highest membership degree in the objective, but also pursue a better utilization of each constrained resource.