Vision-based weighting system (viwes) in prospective Madm

Zolfani, Sarfaraz Hashemkhani and Ebadi Torkayesh, Ali and Bazrafshan, Ramin (2021) Vision-based weighting system (viwes) in prospective Madm. Operational Research in Engineering Sciences: Theory and Applications, 4 (2). pp. 140-150. ISSN 2620-1607 (Print) 2620-1747 (Online)

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Policy-making is an undeniable decision-making process in every company where different kinds of decisions are taken based on different goals and preferences in each vision. “Prospective Multiple Attribute Decision Making (PMADM)” is one of the well-known decision-making frameworks that have been used as a flexible decision-making tool for developing policies and making future decisions over different periods. This study presents a multi attribute problem with three different visions where a decision-making process is required for each vision in order to prioritize the potential set of alternatives. Evaluation Based on the Distance from the Average Solution (EDAS) is used as a MADM model to show the applicability and feasibility of the PMADM framework. A vision-based weighting system (ViWeS) prepares a new opportunity to take proper decisions in different visions and time requirements. This research is analyzed three-time vision (Current, 2025, and 2030) and showed by changing the time, the rank of the alternatives also is changed. In numerical example is indicated in the current vision, Alternative 5 gets rank one and alternative six get rank 2, for 2025 vision, the rank one and two don’t change, and in vision 2030, the rank of one does not change, but the rank of second change from Alternative 6 to 3.
Item Type: Article
Uncontrolled Keywords: Evaluation Based on the Distance from the Average Solution (EDAS); Policy-Making; Prospective Multiple Attribute Decision Making (PMADM); Vision-based weighting system (ViWeS); Weighting system
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Ali Ebadi Torkayesh
Date Deposited: 01 Sep 2022 12:04
Last Modified: 01 Sep 2022 12:04

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