An effective transformation in ranking using l1-norm in data envelopment analysis

被引:4
|
作者
Wu, Jie [1 ]
Yan, Hong [2 ]
机构
[1] Univ Sci & Technol China, Sch Management, Hefei, Peoples R China
[2] Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Hong Kong, Peoples R China
基金
高等学校博士学科点专项科研基金;
关键词
Data envelopment analysis (DEA); Efficiency; Ranking; Chinese cities; EFFICIENCY; UNITS;
D O I
10.1016/j.amc.2010.10.016
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Jahanshahloo et al. [G. R. Jahanshahloo, F. Hosseinzadeh Lotfi, N. Shoja, G. Tohidi, S. Razavyan, Ranking using l(1)-norm in data envelopment analysis, Applied Mathematics and Computation, 153 (2004) 215-224] present a method for ranking extremely efficient decision making units (DMUs) in data envelopment analysis (DEA) by exploiting the leave-one-out idea and l(1)-norm. It is shown that the proposed method is able to remove the existing difficulties in some methods. This paper suggests an effective procedure to transfer the proposed model from the nonlinear programming form into a linear programming form. We show that the model with this transformation is equivalent to the nonlinear model, while it is much easier to solve than the treatment in [1]. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:4061 / 4064
页数:4
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