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چکیده
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Due to the fact that in the real world, the most of the data is inaccurate, henceforth, some kinds of uncertainty appears in many linear programming issues. A fuzzy linear programming based on the fuzzy set theory proposed by Lotfi Askarzadeh has been created to model and solve such problems. In this study, some methods for solving fuzzy linear programming are presented. Then, using parametric techniques for solving fuzzy linear programming problems is presented. In this regard, a concept - feasibility and -efficiency is introduced for these problems. The uncertainty is some of the parametric issues increases the need for a study of these issue. Multi-objective linear programming is one of the most practical applications in many industrial, logistics and even management affairs for solving fuzzy linear programming problems is used. In this study, weighing methods have been used to solve fuzzy linear programming problems to solve these problem.
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