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Integrated Slacks-based Measure of Efficiency and Super-efficiency improving in additive Data Envelopment Analysis
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Davood Bastehzadeh *    , Saeid Mehrabian |
| Faculty of Mathematical Science and Computer, Kharazmi University, Karaj, Iran , dbastehzadeh@tvu.ac.ir |
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Abstract: (1205 Views) |
Tone [29] proposed a method of super-efficiency slack-based measures (SBM) for ranking efficient decision-making units (DMUs), so that this model would rank efficient DMUs. The established model was able to measure radially. It calculates and measuring the efficiency of inefficient DMUs and the amount of super-efficiency of efficient DMUs. Du et al. [11] developed the Charens et al. [6] model in to the additive DEA model, as well as the additive super performance model. Turn et al. [32] used a linear SBM and S-SBM integrated model that had the properties of both models and reduced the time factor compared to previous models. In order to be able to calculate the amount of additive super efficiency; First we identify the efficient DMUs and then apply the additive super-efficiency model to the efficient DMUs. In this paper, the proposed model obtains the additive efficiency value of inefficient DMUs and the additive super efficiency value of efficient DMUs with less computation time. The amount of DMUs calculated from the integrated model in this article can be compared to the Guo et al. [15] article in comparison with the time table of the text of the article.
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| Keywords: Additive super-efficiency, Data envelopment analysis (DEA), Efficiency, Slacks-based measure (SBM), Super-efficiency |
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Full-Text [PDF 388 kb]
(2448 Downloads)
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Type of Study: Original |
Subject:
Mathematical Modeling and Applications of OR
Received: 2023/07/31 | Accepted: 2022/12/8 | Published: 2022/12/8
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