A new exclusion approach for ranking efficient decision making units in data envelopment analysis
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICIORS10_056
تاریخ نمایه سازی: 11 شهریور 1397
Abstract:
Data envelopment analysis (DEA) is a useful technique for performance evaluation and ranking of decision making units (DMUs). The case of variable returns to scale has not received enough attention in context of ranking in DEA. In this paper a new exclusion approach for ranking efficient decision making units in data envelopment analysis is presented. The relative distance of the efficient DMU under evaluation from thesupporting hyperplane of the other DMUs is measured to provide an index to be used for ranking. The new approach can be seen as another way of using super-efficiency. Two numerical examples are provided to show the applicability of the new approach
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Authors
Mohammad Javad Rezaeiani
Department of Mathematics, University of Qom
Ali Asghar Ali Asghar
Department of Mathematics, University of Qom