Increasing discrimination of DEA evaluation by utilizing distances to anti-efficient frontiers

DOI10.1016/j.cor.2016.05.017zbMath1349.90496OpenAlexW2433643085MaRDI QIDQ342529

Da-qun Zhang, Guo-liang Yang, Wan-fang Shen, Wen-bin Liu

Publication date: 17 November 2016

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://kar.kent.ac.uk/60736/1/Increasing%20Discrimination%20of%20DEA%20Evaluation%20by%20Utilizing%20Distances%20to%20Anti.pdf

zbMATH Keywords

data envelopment analysisdiscriminationefficient frontieranti-efficient frontier

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)

Related Items

Multi-output support vector frontiers ⋮ Efficiency evaluation based on data envelopment analysis in the big data context ⋮ Random forests and the measurement of super-efficiency in the context of free disposal hull ⋮ Ranking efficient decision making units in data envelopment analysis based on reference frontier share ⋮ Performance evaluation and ranking of Academy Award winners for best original score applying data envelopment analysis: 1990--2016 ⋮ The curse of dimensionality of decision-making units: a simple approach to increase the discriminatory power of data envelopment analysis

Uses Software

• Excel

Cites Work

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