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.

中文翻译：

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数据包络分析和鲁棒优化：综述

本文回顾了处理数据包络分析（DEA）中不确定性的里程碑方法。本文介绍了鲁棒数据包络分析（RDEA）的详细分类。RDEA适用于在存在数据和分布不确定性的情况下衡量决策部门的效率。本文回顾了基于场景和不确定性的DEA模型集。它涵盖了2008年至2019年的73项研究。本文最后对RDEA领域的未来研究指南提出了建议。