revised multi-choice goal programming approach for fuzzy flexible linear programming problems

This paper is concentrated on solving fuzzy flexible linear programming (fflp) problems. however, this model is essentially practical and will be useful for many models in the real life, with this regard there are a few methods to solve these models. in the most of the suggested approaches which are appeared in the literature the solving processes need at least two phases where each phase needs to solve a linear programming problem, while our method can solve the same given problem at just one phase and in particular by solving one problem. furthermore, by this approach the sensitivity analysis on fuzzy flexible linear programming (fflp) problem is more simple in the complexity sense. for illustration of the suggested method some numerical examples are given. in particular, a problem which is taken from the real world is formulated and is solved by other method as well as our method and then the solving process is compared together.