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Ranking Effcient Dmus With Stochastic Data By Considering IneCient Frontier
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نویسنده
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Behzadi M. H. ,Nematollahi N. ,Mirbolouki M.
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منبع
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International Journal Of Industrial Mathematics - 2009 - دوره : 1 - شماره : 3 - صفحه:219 -226
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چکیده
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Data envelopment analysis (dea) models which evaluate the efficiency of a set of decisionmaking units (dmus) are unable to discriminate between efficient dmus. the problemof discriminating between these efficient dmus is an interesting subject. a large numberof methods for fully ranking both efficient and inefficient dmus have been proposed.through real world applications, analysis may encounter data that are not deterministicor on have a stochastic essence but whose distribution can be dened by collecting data insuccessive periods and by statistical methods. in this paper, a method for ranking stochastic efficient dmus is suggested which is based on the full inefficient frontier method. usinga numerical example, we will demonstrate how to use the result.
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کلیدواژه
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Data Envelopment Analysis ,Quadratic Programming; Ranking ,Standard Normal Distribution
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آدرس
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Islamic Azad University, Department Of Statistics, ایران, Allameh Tabataba-I University, Faculty Of Economics, Department Of Statistics, ایران, Islamic Azad University, Department Of Mathematics, ایران
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پست الکترونیکی
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behzadi@srbiau.ac.ir
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Authors
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