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Data envelopment analysis and robust optimization: A review
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DOI：10.1111/exsy.12534.png)
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Abstract
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This paper reviews the milestone approaches for handling uncertainty in data envelopment analysis (DEA). This paper presents the detailed classifications of robust data envelopment analysis (RDEA). RDEA is appropriate for measuring the efficiencies of decision-making units in the presence of the data and distributional uncertainties. This paper reviews scenario-based and uncertainty set of DEA models. It covers 73 studies from 2008 to 2019. The paper concludes with suggestions about the guidelines for future researches in the field of RDEA.
Keywords:
continuous uncertainty
data envelopment analysis (DEA)
discrete uncertainty
robust DEA (RDEA)
robust optimization
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