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A Three-Stage Process for Fuzzy Stochastic Network Data Envelopment Analysis Models
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Seyed Hadi Nasseri *    , Parastoo Niksefat Dogori |
| Department of Applied Mathematics, University of Mazandaran, Babolsar, Iran , nasseri@umz.ac.ir |
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Abstract: (2504 Views) |
| One of the most useful tools in Operations Research (OR) which is essentially applied to evaluate the performance of treated Decision-Making Units (DMUs) is Data Envelopment Analysis (DEA). Because of in the current decades, DEA models have been used and extended in many disciplines and hence attracted much interests. The traditional DEA treats DMUs as black boxes and calculates their efficiencies by considering their initial inputs and their final outputs. Since, in the real situations, input data are included some uncertainties, hence in this study we consider a DEA with fuzzy stochastic data and suggest a three-stage DEA model by taking into account undesirable output. To achieve this aim, an extended probability approach is applied to the reform of three-stage DEA models. Finally, we give an illustrative example by considering a case study on the banking industry. |
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| Keywords: Data envelopment analysis, Network DEA, Fuzzy random variable, multi-stage methods, Undesirable output. |
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Full-Text [PDF 1404 kb]
(3491 Downloads)
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Type of Study: Original |
Subject:
Mathematical Modeling and Applications of OR
Received: 2022/01/28 | Accepted: 2022/05/20 | Published: 2022/05/20
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