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• W3032912306 abstract "Purpose Classical models of data envelopment analysis (DEA) calculate the efficiency of decision-making units do not differentiate between efficient units. The purpose of this paper is to present a new method for ranking efficient units and compare it with the other methods presented in this field. Design/methodology/approach In this paper, a new method is presented for ranking efficient units. To validate the proposed method, a real case, which was studied by Li et al. (2016) is examined and the rankings of the efficient units are compared with four other methods including the Andersen and Petersen’s super-efficiency, game theory and the concept of Shapley value and the technique for order of preference by similarity to ideal solution methods. Findings The results show that there is a high correlation between the rankings of efficient units obtained by the new proposed method and the other methods such as Andersen and Petersen’s super-efficiency, game theory and Shapley value methods. Originality/value The problem of ranking efficient units with the DEA method is an important issue for researchers. Extensive studies have been proposed to provide methods for ranking efficient units. This paper proposes a simple and fast method for ranking efficient units that achieves better results." @default.
• W3032912306 created "2020-06-12" @default.
• W3032912306 creator A5037459249 @default.
• W3032912306 creator A5040196905 @default.
• W3032912306 date "2020-06-04" @default.
• W3032912306 modified "2023-10-15" @default.
• W3032912306 title "A new approach for ranking efficient DMUs with data envelopment analysis" @default.
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• W3032912306 doi "https://doi.org/10.1108/wje-03-2020-0092" @default.
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