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  • Search: subject:"Uncertain data"
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Year of publication
Subject
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Data envelopment analysis 3 Data-Envelopment-Analyse 2 Discrete uncertain data 2 Mathematical programming 2 Mathematische Optimierung 2 RDEA 2 Robust optimization 2 Theorie 2 Theory 2 Electric power industry 1 Elektrizitätswirtschaft 1 Iran 1 NDEA 1 Operations Research 1 Operations research 1 Robust statistics 1 Robustes Verfahren 1 Stochastic process 1 Stochastischer Prozess 1 data envelopment analysis 1 discrete uncertain data 1 p-robustness 1 stochastic p-robust optimization 1
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Online availability
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Free 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Article 1
Language
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English 3
Author
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Hafezalkotob, Ashkan 2 Haji-Sami, Elham 2 Omrani, Hashem 2 Kordrostami, Sohrab 1 Salahi, Maziar 1 Shakouri, Rita 1
Published in...
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Journal of Industrial Engineering International 1 Journal of industrial engineering international 1 Quantitative finance and economics 1
Source
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ECONIS (ZBW) 2 EconStor 1
Showing 1 - 3 of 3
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Stochastic p-robust approach to two-stage network DEA model
Shakouri, Rita; Salahi, Maziar; Kordrostami, Sohrab - In: Quantitative finance and economics 3 (2019) 2, pp. 315-346
Persistent link: https://www.econbiz.de/10012176472
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Robust DEA under discrete uncertain data: A case study of Iranian electricity distribution companies
Hafezalkotob, Ashkan; Haji-Sami, Elham; Omrani, Hashem - In: Journal of Industrial Engineering International 11 (2015), pp. 199-208
Crisp input and output data are fundamentally indispensable in traditional data envelopment analysis (DEA). However, the real-world problems often deal with imprecise or ambiguous data. In this paper, we propose a novel robust data envelopment model (RDEA) to investigate the efficiencies of...
Persistent link: https://www.econbiz.de/10011640846
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Cover Image
Robust DEA under discrete uncertain data: a case study of Iranian electricity distribution companies
Hafezalkotob, Ashkan; Haji-Sami, Elham; Omrani, Hashem - In: Journal of industrial engineering international 11 (2015), pp. 199-208
Crisp input and output data are fundamentally indispensable in traditional data envelopment analysis (DEA). However, the real-world problems often deal with imprecise or ambiguous data. In this paper, we propose a novel robust data envelopment model (RDEA) to investigate the efficiencies of...
Persistent link: https://www.econbiz.de/10011557250
Saved in:
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