在不确定性运输问题研究现状的基础上,建立了目标函数费用系数、可供应量、需求量均为区间数的多目标多模式运输问题(MOSTP)数学模型。根据参数的实际意义和区间数的序关系,将区间数MOSTP转化为确定性的MOSTP,并将区间数约束转化为确定性的不等式约束。通过运用模糊折衷规划方法求解,得到了区间数MOSTP的最优折衷解。最后,采用具体算例说明了该方法的求解过程。
Based on recent research developments on ers a new form of multi-objective solid transportation uncertain transportation problem, the paper considproblem (MOSTP) mathematical model, where the cost coefficients of the objective functions, the source and destination parameters are represented as interval numbers. According to the decision meanings of parameters and the order relations between interval numbers, the problem is transformed into a classical crisp MOSTP, and the constraints with interval source and destination parameters are converted into deterministic inequality ones. Finally, the equivalent transformed problem is solved by fuzzy compromise programming technique. An illustrative numerical example is provided to demonstrate the proposed approach.