Ranking the efficiency performance within a set of decision making units by data envelopment analysis

被引：6

作者：

Li, HY ^{[1
]}

Zhu, JS ^{[1
]}

机构：

[1] Fudan Univ, Sch Management, Dept Management Sci, Shanghai 200433, Peoples R China

来源：

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING | 2005年 / 4卷 / 03期

基金：

中国国家自然科学基金;

关键词：

ranking of efficiency performance; data envelopment analysis; linear programming;

D O I：

10.1142/S0219622005001611

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In contrast to parametric approaches which try to optimize a single regression function through the observed data set, DEA optimizes on each individual observation with a objective of calculating a discrete piece-wise linear frontier. In the so-called preliminary DEA efficiency evaluation, whether or not a DMU is efficient is solely determined by the solution of the linear programming problem constructed for this particular DMU. In our proposed ranking method, we assess the efficiency performance of a particular DMU based not only on its efficiency score when the DMU is standing out in the objective function of the linear problem but also its efficiency ratios under the optimal solutions of other n-1 linear programming problems. This constitutes the overall efficiency performance of a DMU. A ranking procedure is developed to rank the n DMUs in terms of the overall efficiency performance.

引用

页码：345 / 357

页数：13

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