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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 multi-objective linear programming
model with flexible fuzzy 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 one phase
method just in one phase to an optimal solution can be achieved for every
objective and then, the optimal pareto solution for the reduced multi parametric multi-objective linear programming can be found by goal programming model. This approach will be illustrated by a numerical example.
Gorbanali Ramzannia-Keshteli, Seyed Hadi Nasseri. (2019) Solving Flexible Fuzzy Multi-Objective Linear Programming Problems: Feasibility and Efficiency Concept of Solutions, Punjab University Journal of Mathematics, Volume 51, Issue 6.
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