A Solid Transportation Problem with Type-2 Fuzzy Variables
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.
fuzzy possibility theory type-2 fuzzy variable solid transportation problem
Pei Liu Lixing Yang Li Wang Shukai Li
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University,Beijing 100044,
国内会议
桂林
英文
163-171
2013-05-17（万方平台首次上网日期，不代表论文的发表时间）