New approach to determine common weights in DEA efficiency evaluation model

查看全文 作　　者：Feng Yang Chenchen Yang Liang Liangc Shaofu [1]Du

机构地区：[1]School of Management, University of Science and Technology of China, Hefei 230026, R R. China

出　　处：《Journal of Systems Engineering and Electronics》索引2010年第21卷第4期,共7页

基　　金：supported by the National Natural Science Foundation of China for Innovative Research Groups(70821001)and the National Natural Science Foundation of China(70801056) 摘　　要：Data envelopment analysis(DEA) is a mathematical programming approach to appraise the relative efficiencies of peer decision-making unit(DMU),which is widely used in ranking DMUs.However,almost all DEA-related ranking approaches are based on the self-evaluation efficiencies.In other words,each DMU chooses the weights it prefers to most,so the resulted efficiencies are not suitable to be used as ranking criteria.Therefore this paper proposes a new approach to determine a bundle of common weights in DEA efficiency evaluation model by introducing a multi-objective integer programming.The paper also gives the solving process of this multi-objective integer programming,and the solution is proven a Pareto efficient solution.The solving process ensures that the obtained common weight bundle is acceptable by a great number of DMUs.Finally a numeral example is given to demonstrate the approach. 关键词：评价模型权重选择 DEA 内燃动车组数据包络分析整数规划求解过程相对效率

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New approach to determine common weights in DEA efficiency evaluation model

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