Ranking efficient decision-making units in data envelopment analysis using fuzzy concept

被引：25
|
作者：
Angiz L, Majid Zerafat [1 ,3 ]
Mustafa, Adli [1 ]
Emrouznejad, Ali [2 ]
机构：
[1] Univ Sains Malaysia, Sch Math Sci, George Town, Malaysia
[2] Aston Univ, Aston Business Sch, Birmingham B4 7ET, W Midlands, England
[3] Islamic Azad Univ, Dept Math, Firouzkooh, Iran
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 2010年 / 59卷 / 04期
关键词：
Data envelopment analysis; Ranking efficient DMUs; Fuzzy concept; SUPER-EFFICIENCY; CROSS-EFFICIENCY; DEA MODEL; DISPERSION; WEIGHTS; SYSTEMS;
D O I：
10.1016/j.cie.2010.07.025
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper introduces a new mathematical method for improving the discrimination power of data envelopment analysis and to completely rank the efficient decision-making units (DMUs). Fuzzy concept is utilised. For this purpose, first all DMUs are evaluated with the CCR model. Thereafter, the resulted weights for each output are considered as fuzzy sets and are then converted to fuzzy numbers. The introduced model is a multi-objective linear model, endpoints of which are the highest and lowest of the weighted values. An added advantage of the model is its ability to handle the infeasibility situation sometimes faced by previously introduced models. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：712 / 719
页数：8
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