Amirteimoori, Alireza DEA efficiency analysis: efficient and anti-efficient frontier. (English) Zbl 1124.90012 Appl. Math. Comput. 186, No. 1, 10-16 (2007). Summary: Data envelopment analysis (DEA) is a methodology for identifying the efficient frontier of production possibility set. Using this efficient frontier, an efficiency score is derived to each decision making units. This study, proposes an alternative efficiency measure by using efficient and anti-efficient frontiers. Numerical experiments show the validity of the proposed efficiency measure and its compatibility with other measures of efficiency. The paper addresses the super-efficiency issue by using this measure. Cited in 1 ReviewCited in 4 Documents MSC: 90B50 Management decision making, including multiple objectives Keywords:data envelopment analysis; efficiency; super-efficiency PDFBibTeX XMLCite \textit{A. Amirteimoori}, Appl. Math. Comput. 186, No. 1, 10--16 (2007; Zbl 1124.90012) Full Text: DOI References: [1] Andersen, P.; Petersen, N. C., A procedure for ranking efficient units in data envelopment analysis, Management Science, 39, 1261-1264 (1993) · Zbl 0800.90096 [2] Banker, R. D.; Charnes, A.; Cooper, W. W., Some models for estimating technical and scale efficiencies in data envelopment analysis, Management Science, 30, 1078-1092 (1984) · Zbl 0552.90055 [3] Charnes, A.; Cooper, W. W.; Rhodes, E., Measuring the efficiency of decision making units, European Journal of Operational Research, 2, 429-444 (1978) · Zbl 0416.90080 [4] Entani, T.; Maeda, Y.; Tanaka, H., Dual models of interval DEA and its extension to interval data, European Journal of Operational Research, 136, 32-45 (2002) · Zbl 1087.90513 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.