Solving Multi-Objective Fuzzy Solid Transportation Problem Based On Expected Value And The Goal Programming Approach
نویسندگان
چکیده
In the present paper, the multi-objective solid transportation problem with fuzzy coefficients for the objectives and constraints is modelled and then solved. Fuzzy goal programming is used to the linear multiobjective solid transportation problem, and an optimal compromise solution is obtained. Firstly, expected values of the fuzzy objective functions are considered to derive crisp values. In this method, a defuzzification model, which is an application of fuzzy linear programming and conditions for a solid transportation problem are imposed. Fuzzy programming technique and goal programming approach are applied to derive optimal compromise solutions of multi-objectives. Three numerical examples are presented using the above mentioned methodology and the appropriate comparative study is also included. Obtained concluding remarks are given in the last section.
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