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Fuzzy programming technique to solve multi-objective solid transportation problem with some non-linear membership functionsKeywords: Solid transportation problem , Fuzzy programming , Linear and nonlinear membership functions , Multiple criteria programming Abstract: The Multi-objective Solid Transportation Problem (MSTP) refers to a special class of vectorminimumlinear programming problems, in which constraints are all equality type and the objectives, areconflicting in nature. A generalization of multi-objective solid transportation problem, in which the supply,demand and capacity constraints are not only equality type but also of inequality type is considered. Allmethods either generate a set of non-dominated solution or find a compromise solution. In this paper,fuzzy programming technique is applied to solve multi-objective solid transportation problem. Specialtype of non-linear membership functions - Hyperbolic and Exponential are used to represent objectivefunction into fuzzy environment. It gives an optimal compromise solution. The obtained result has beencompared with the solution obtained by using a linear membership function. The method is illustratedwith a numerical example.
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