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Determining a common set of weight by reducing the flexibility of weight profile
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A. Pourhabib   , M. Maghbouli |
| Department of Applied Mathematics, Sowmesara Branch, Islamic Azad University, Sowmesara, Iran |
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Abstract: (1273 Views) |
Data Envelopment Analysis (DEA) is non-parametric mathematical programming for measuring the performance of a set of homogeneous decision-making units (DMUs). Standard DEA models usually result in several efficient units, so, picking the best unit among efficient units has been one of the most challenging subjects in DEA literature. With reference to various researchers, the common set of weights (CSW) approach has been intriguing among them. This paper discusses a mechanism for detecting a common set of weights which is managed to be always positive and prevents weights dissimilarity. Employing this common set of weights can determine the efficiency score of each unit and finally rank them based on their obtained efficiency score. Equally, the proposed model not only provides the closest targets, but also minimizes the deviations of actual DMUs and extreme efficient units. In order to verify the proposed approach an empirical example of Iranian electricity distribution companies is explained.
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| Keywords: Data Envelopment Analysis (DEA), Common Set of Weight (CSW), Efficiency Score, Deviation and Weight dissimilarity. |
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Full-Text [PDF 666 kb]
(898 Downloads)
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Type of Study: Research |
Subject:
General
Received: 2021/07/23 | Accepted: 2022/02/10 | Published: 2023/01/20
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