文章基本信息

标题：Hybrid F-SWARA and F-ENTROPY for the optimization of the weighting of the location criteria of a green logistics platform
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作者：M. Bennani ; F. Jawab ; Y. Hani 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：10
页码：1606-1612
DOI：10.1016/j.ifacol.2022.09.620
语种：English
出版社：Elsevier
摘要：In this article, we propose to address the issue of the location of green logistics platforms (GLP) in a fuzzy environment. Given the different criteria for this choice, optimizing the weighting of these is essential. To do this, we will propose a hybrid approach combining the fuzzy stepwise weight assessment method (F-SWARA), which is a subjective method for determining the weighting of criteria in the multi-criteria decision-making process, and the F- entropy method which will provide objectivity in the determination of the weights. the use of the two methods made it possible to take into consideration all the characteristics of the criteria while reducing the bounds of the values of the weights found. A numerical case study illustrates the effectiveness and benefits of the proposed approach.
关键词：Location;GLP;fuzzy environment;F-SWARA;F-entropy