【摘 要】
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This paper focuses on generating the optimal solutions of the solid transportation problem under fuzzy environment, in which the supplies, demands and trans
【机 构】
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School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
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This paper focuses on generating the optimal solutions of the solid transportation problem under fuzzy environment, in which the supplies, demands and transportation capacities are supposed to be type-2 fuzzy variables due to the instinctive uncertainty.In order to model the problem within the framework of credibility optimization, a type of defuzzification criterion, i.e.expected value criterion, is proposed for type-2 fuzzy variables.Then, the solid transportation problem is reformulated as the chance-constrained programming model with the least expected transportation cost.To solve the model, fuzzy simulation based tabu search algorithm is designed to seek an approximate optimal solution.Numerical experiments are implemented to illustrate the effectiveness and efficiency of the proposed approaches.
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