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- W3171401095 abstract "Abstract In some real-world applications, performance assessment often has to be considered under uncertainty with fuzzy input and output. Data envelopment analysis (DEA) is a new and effective approach to measuring the relative efficiency of decision-making units concerned with performance evaluation. Recently, DEA has studied with fuzzy input and output. In this paper, we present a computational procedure using a robust ranking method to formulate and solve fuzzy DEA models. Based on this approach, we convert the fuzzy DEA input and output from fuzzy form to crisp. Also, a case study has been presented as in [6] to assess the performance of eight manufacturing enterprises with fuzzy data." @default.
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- W3171401095 date "2021-05-01" @default.
- W3171401095 modified "2023-09-28" @default.
- W3171401095 title "A Computational Procedure Using Robust Ranking Method to Formulate and Solve Fuzzy DEA Models" @default.
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- W3171401095 doi "https://doi.org/10.1088/1742-6596/1879/3/032006" @default.
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