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Ranking using TOPSIS method and discriminant analysis model in data envelopment analysis (DEA/DA-TOPSIS)
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S. Roushanzamir   , M. Rostamy Malkhlifeh , F. Hosseinzadeh Lotfi |
| Department of Mathematics, SR.C., Islamic Azad University, Tehran, Iran |
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Abstract: (6 Views) |
| Many decisions are so complex that the analyst is different from the person making the final decision. Despite the wide domain of applications of multi-criteria decisions in the real world, this approach also has its limitations and challenges. It is up to the analyst to determine which method to use (to determine the weight or evaluate options) or in what situation to use only part of the method. There exist many various ranking methods for ranking efficient Decision-Making Units (DMUS) in Data Envelopment Analysis (DEA). Nevertheless, since each of these methods considers a certain theory for ranking, they may give different ranks. In practice, select a ranking method, the results of which the Decision Maker (DM) would be able to confident is an important topic. In this paper, we consider some CCR (Charnes, Cooper and Rhodes) efficient DMUS and then rank them by using some ranking methods, each of which is significant. Afterward, by using TOPSIS and Discriminant Analysis (DA) method, we propose the ranks of efficient DMUS. |
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| Keywords: Ranking, Efficiency Evaluation, Data Envelopment Analysis, Discriminant Analysis, TOPSIS Technique. |
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Full-Text [PDF 505 kb]
(4 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2026/02/20 | Accepted: 2026/03/22 | Published: 2026/04/12
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