用新的模糊最小代价法求解模糊运输问题的模糊最优解

Proceedings of the Mathematics, Informatics, Science, and Education International Conference (MISEIC 2019) Pub Date : 2019-12-01 DOI:10.2991/miseic-19.2019.18

F. Farikhin, M. Sam’an, B. Surarso, Bambang Irwanto

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引用次数: 1

摘要

模糊传输算法是研究人员用来寻找模糊传输问题(FTP)最优解的算法，其中一种是最小代价法(LCM)。LCM的概念是从FTP表中选择成本最低的作为基本单元。如果有相同的最低成本，则自由选择。但是，自由选择会影响得到的模糊最优解的值和最优解。为此，提出了一种新的模糊LCM方法，利用简单加性加权(Simple Additive Weighting, SAW)技术和新的总积分值来增加权重，使成本最小。为了说明所提出的新方法，给出了完整的数值算例，并与现有方法的结果进行了比较。新方法的优点可以改善现有方法的不足，同时也可以为决策者解决现实生活中的模糊运输问题提供参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Fuzzy Optimal Solution of Fuzzy Transport Problems Using A New Fuzzy Least Cost Method

The fuzzy transport algorithms is used by researchers for finding optimal solution of Fuzzy Transport Problem (FTP), one of them is the Least Cost Method or LCM. The concept of LCM is to choose the least cost from the FTP table to be used as the base cell. If there is the same lowest cost, it is freely chosen. However, the free election will affect the value and optimal fuzzy solutions obtained. Therefore, the fuzzy LCM as new method is proposed by adding weights using Simple Additive Weighting or SAW technique and new total integral value so that there will be unequal least costs. To illustrate the new proposed method, the completion of numerical examples is given and the results are reviewed with the results of the existing method. The advantages of the new proposed method can improve the shortcomings of the existing methods, as well as relevant to solving fuzzy transport problems in real life for use by decision makers..

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Proceedings of the Mathematics, Informatics, Science, and Education International Conference (MISEIC 2019)

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