Hybrid F-SWARA and F-ENTROPY for the optimization of the weighting of the location criteria of a green logistics platform. Issue 10 (2022)

• Record Type: Journal Article
• Authors: Bennani, M.; Jawab, F.; Hani, Y.; Mhamedi, A.El; Amegouz, D.
• Is Part Of: IFAC-PapersOnLine. Volume 55:Issue 10(2022)
• Page Start: 1606
• Page End: 1612
• Publication Date: 2022
• Subjects: Location -- GLP -- fuzzy environment -- F-SWARA -- F-entropy; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2022.09.620
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: 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.