| USING DISPLACED CONE REPRESENTATION IN DEA MODELS FOR NONDOMINATED SOLUTIONSIN MULTIOBJECTIVE PROGRAMMING |
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| 引用本文： | W. W. Cooper (Graduate School Of Business,University of Texas at Austin,Austin,Texas,USA 78712-1174)WEI Quanling (Department of Information Management,People's University of China,Beliing 100872,China) G. Yu (Department of MSIS,University of Texas. USING DISPLACED CONE REPRESENTATION IN DEA MODELS FOR NONDOMINATED SOLUTIONSIN MULTIOBJECTIVE PROGRAMMING[J]. 系统科学与复杂性, 1997, 0(1) |
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| 作者姓名： | W. W. Cooper (Graduate School Of Business University of Texas at Austin Austin Texas USA 78712-1174)WEI Quanling (Department of Information Management People's University of China Beliing 100872 China) G. Yu (Department of MSIS University of Texas |
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| 作者单位： | W. W. Cooper (Graduate School Of Business，University of Texas at Austin，Austin，Texas，USA 78712-1174)WEI Quanling (Department of Information Management，People's University of China，Beliing 100872，China) G. Yu (Department of MSIS，University of Texas |
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| 摘 要： | 1.IlltroductionBowlin,etal.[2]extendedtheearlierworkofBowlinetal.11]aspartofaresponsetowhatseemstobeagrowinginterestintheuseofefficiencydominance--asreflected,forexampleintheworkofLoved[7],TulkensandVandenEeckaut[lo]andtheirassociates.ThefocusinBowlinetal.[2]turnedtotheuseofan11metricasabasisfor(1)measuringtheamountofefficiencydominancethatmightbepresentinanyDecisionMakingUnit(DMU)aswellasfor(2)dealingwithproblemsinvolvedinthepossiblepresenceofslackswithnon-zerovalues,--whichareimportantas…
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USING DISPLACED CONE REPRESENTATION IN DEA MODELS FOR NONDOMINATED SOLUTIONS IN MULTIOBJECTIVE PROGRAMMING |
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| W. W. Cooper. USING DISPLACED CONE REPRESENTATION IN DEA MODELS FOR NONDOMINATED SOLUTIONS IN MULTIOBJECTIVE PROGRAMMING[J]. Journal of Systems Science and Complexity, 1997, 0(1) |
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| Authors: | W. W. Cooper |
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| Abstract: | Concepts revolving around "displaced cones" are used to extend the ideas of nondominated solutions in multiobjective programming. Necessary and sufficient conditions are formed around the additive models of DEA to idelltify nondominated solutions. This provdes a basis for effecting contacts with other disciplines and other parts of DEA. |
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| Keywords: | Multi-objective programming efficiency dominance data envelopment analysis |
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