Data envelopment analysis, operational research and uncertainty

被引：103
|
作者：
Dyson, R. G. [1 ]
Shale, E. A. [1 ]
机构：
[1] Univ Warwick, Warwick Business Sch, Coventry CV4 7AL, W Midlands, England
来源：
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY | 2010年 / 61卷 / 01期
关键词：
data envelopment analysis; uncertainty; Monte Carlo simulation; NONPARAMETRIC FRONTIER MODELS; IMPRECISE DATA; EFFICIENCY; DEA; IDEA;
D O I：
10.1057/jors.2009.145
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
This paper discusses a number of applications of data envelopment analysis and the nature of uncertainty in those applications. It then reviews the key approaches to handling uncertainty in data envelopment analysis (DEA) (imprecise DEA, bootstrapping, Monte Carlo simulation and chance constrained DEA) and considers their suitability for modelling the applications. The paper concludes with suggestions about the challenges facing an operational research analyst in applying DEA in real-world situations. Journal of the Operational Research Society (2010) 61, 25-34. doi:10.1057/jors.2009.145
引用
收藏
页码：25 / 34
页数：10
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