Abstract: This paper presents a specialized linear programming approach to solve fuzzy assignment problem with the help of yager’s ranking and membership function. As we know traditional models assume precise cost or time parameters, real world scenarios often involved inherent ambiguity and imprecise data. To address this, we employ membership function to transform fuzzy parameters into crisp numerical values effectively reducing uncertainty in the assignment matrix. The resulting deterministic model solved using LP techniques. Comparative analysis demonstrates that the...
Keywords: Assignment problem, Linear programming, Hungarian method.
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