Maximum Entropy and Primal-dual geometric programming approach in Multi-objective Vendor selection Problem
نویسنده
چکیده
The objective of this paper is to analyze entropy based Vendor Selection Problem (VSP) model by using fuzzy mathematical programming and primal-dual geometric programming method. Here we have extended the unconstrained convex programming approach to solve VSP model with inequality constraints without adding artificial variables. By t-norm based fuzzy mathematical programming technique and the duality theory, one can solve a given model by solving the geometric dual of a perturbed VSP model.
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