基于“专家打分法”的DEA交叉效率聚集方法  

DEA Cross-efficiency Aggregation Method Based upon Expert Scoring

作　　者：刘鹏[1] 王莉芳[1] 许燕 Liu Peng;Wang Lifang;Xu yan(School of Management,Northwestern Polytechnical University,Xi'an 710072,China)

机构地区：[1]西北工业大学管理学院,陕西西安710072

出　　处：《科技管理研究》2019年第2期248-253,共6页Science and Technology Management Research

基　　金：国家自然科学基金项目"不确定环境下整合风险与属性绩效交互影响的多属性决策方法及应用研究"(71601155);陕西省自然科学基础研究计划项目"风险交互影响的关联多属性决策方法研究及其应用"(2017JQ7001)

摘　　要：聚焦交叉效率的集结问题,考虑到交叉效率的差异性,提出使用"专家打分法"对他们进行集聚。此方法把交叉效率矩阵转换为一个专家打分矩阵,由于专家之间在教育背景、工作经验等方面的差异,他们的"打分"理应区别对待。他们差异性的度量依据他们对决策单元效率打分的差异程度,差异程度越大的专家其效率打分相应的会赋予较小的权重。最后运用算例分析说明此方法的有效性。This paper focuses on aggregating cross-efficiencies by taking into consideration their relative importance and proposes a method to aggregate cross-efficiency based on expert scoring. This method will transform the cross-efficiency matrix into expert scoring matrix.. Due to their differences on education background and work experience,experts’ scoring should be given a different weight in the final score. The weights allocated to experts are based on their dissimilarity level to other ones. If there is a significant difference between the efficiency scoring of an expert and that of other experts,the authority of the expert will be questioned. Accordingly,his efficiency scoring will play a small role in the final score. Finally,a numerical example is used to show the validity of this method.

关 键 词：DEA DEA交叉效率 交叉效率矩阵 交叉效率集结 

分 类 号：O22[理学—运筹学与控制论]