Abstract
This paper proposes a novel approach for multi-criteria decision-making problems based on the Additive Ratio Assessment (ARAS) method, integrated with decomposed fuzzy sets (DFS). The proposed method aims to enhance the accuracy of decision-making by enabling decision-makers to express their evaluations more accurately. The steps of the proposed DF-ARAS methodology are presented in detail, and an application of post-disaster temporary shelter selection is demonstrated to illustrate the effectiveness of the proposed approach. The results show that the proposed DF-ARAS method is a valuable decision-making tool that can provide more accurate and flexible solutions in complex decision-making problems.
| Original language | English |
|---|---|
| Pages (from-to) | 299-318 |
| Number of pages | 20 |
| Journal | Journal of Multiple-Valued Logic and Soft Computing |
| Volume | 41 |
| Issue number | 3-5 |
| Publication status | Published - 2023 |
Bibliographical note
Publisher Copyright:©2023 Old City Publishing, Inc.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Additive Ratio Assessment (ARAS)
- alternative selection
- Decomposed fuzzy sets
- post-disaster temporary shelter
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