A fully ranking method in method in imprecise DEA with common weights
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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ICIORS10_120
تاریخ نمایه سازی: 11 شهریور 1397
Abstract:
In this paper, we present a fully ranking method to evaluate Decision Making Units (DMUs) with interval data. we use common set of weights methodology in DEA with interval data for a fair and reasonable ranking of performance of DMUs. An Interval efficiency is associated with each DMU based upon the obtained Common Set of Weights (CSW). The ranking criterion is sensible for a logical assessment of performance of units under the same condition. Throughout the ranking procedure, only one linear programming is solved. Our method is implemented on a real data set and another method is also run for comparison the results.
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Authors
Gholam Hassan Shirde
Department of mathematics, Faculty of science,University of Qom,Qom,IRAN
Somayeh Ramezani Tarkhorani
Department of mathematics, Faculty of science,University of Qom,Qom,IRAN