数据包络分析方法(DEA)综述

被引:164
作者
杨国梁 [1 ]
刘文斌 [2 ]
郑海军 [1 ]
机构
[1] 中国科学院科技政策与管理科学研究所
[2] 英国肯特大学商学院
关键词
数据包络分析方法; 相对有效性; 关键要素;
D O I
暂无
中图分类号
TP311.13 [];
学科分类号
1201 ;
摘要
数据包络分析方法是一种基于投入产出数据的相对有效性评价方法.该方法中包含若干关键要素,具体包括:生产可能集,测度,偏好,变量的类型,问题的层次以及数据是否是确定的.以上这些要素的组合可以形成不同的DEA模型,用于解决不同的问题.本文旨在围绕以上关键要素对DEA方法近年的若干重要研究工作和模型进行梳理和分类,并简要介绍了DEA模型的若干应用.最后,给出未来可能的若干研究方向.
引用
收藏
页码:840 / 860
页数:21
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