Evaluating the Impact of Weighting Methods on the Stability of Scores for Alternatives in Multi-Criteria Decision-Making Problems
Received: 6 November 2024 | Revised: 5 December 2024 | Accepted: 14 December 2024 | Online: 23 December 2024
Corresponding author: Nguyen Hong Son
Abstract
Criteria weights play a crucial role in Multi-Criteria Decision Making (MCDM) problems when selecting the best alternative from a set of options. This study aims to compare three objective weighting methods: MEthod based on the Removal Effects of Criteria (MEREC), Entropy, and Symmetry Point of Criterion (SPC). These methods were applied to a case study involving the ranking of eight sustainable energy development alternatives, each characterized by seventeen criteria. Four representative MCDM methods, the Simple Additive Weighting (SAW), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Proximity Indexed Value (PIV), and Root Assessment Method (RAM), were also deployed. The results revealed that the Entropy method provided the most stable and consistent performance, followed by the MEREC method, with the SPC method showing the least stability.
Keywords:
weight method, MEREC method, entropy method, SPC method, MCDMDownloads
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Copyright (c) 2024 Nguyen Hong Son, Nguyen Thi Dieu Linh, Dang Xuan Thao
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