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Solving multi-objective transportation problem with interval goal using utility function approach

机译:用效用函数法求解区间目标的多目标运输问题

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This paper presents the study of transportation problem (TP) with interval goal under multiple objective environment. Most of the multi-objective transportation problems (MOTP) are solved by goal programming (GP) approach. Using GP, the solution of MOTP may not be satisfied all time by the decision maker (DM) when the proposed problem contains interval-valued aspiration level. To overcome this difficulty, here we propose the approaches of revised multi-choice goal programming (RMCGP) and utility function into the MOTP, and then compared the solution between them. Finally, a real-life problem on TP is considered to show the feasibility and usefulness of our paper.
机译:本文提出了多目标环境下具有区间目标的运输问题的研究。大多数多目标运输问题(MOTP)通过目标规划(GP)方法解决。使用GP,当提出的问题包含区间值期望水平时,决策者(DM)可能不会一直满足MOTP的解决方案。为了克服这个困难,我们在MOTP中提出了修正的多选择目标编程(RMCGP)和效用函数的方法,然后比较了它们之间的解决方案。最后,一个关于TP的现实问题被认为证明了本文的可行性和实用性。

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