Process efficiency of two-stage systems with fuzzy data

被引：27
|
作者：
Lozano, Sebastian [1 ]
机构：
[1] Univ Seville, Dept Ind Management, Escuela Super Ingn, Seville 41092, Spain
来源：
FUZZY SETS AND SYSTEMS | 2014年 / 243卷
关键词：
Network DEA; Two-stage system; Fuzzy data; System efficiency; Process efficiency; DATA ENVELOPMENT ANALYSIS; MATHEMATICAL-PROGRAMMING APPROACH; NETWORK DEA; DECOMPOSITION; OUTPUTS;
D O I：
10.1016/j.fss.2013.05.012
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, a new approach to compute estimations of the process efficiencies in two-stage systems with fuzzy data is presented. The first step is to compute the upper and lower limits of the alpha-cuts of the system efficiency using the corresponding models in Kao and Liu (2011) [14]. The second step consists in computing the upper and lower limits of the alpha-cuts of the efficiency of each of the processes. The upper limit of the alpha-cuts of the efficiency of each process is computed subject to the upper limit of the system efficiency while the lower limit of the process efficiency is computed subject to the lower limit of the system efficiency. The proposed approach takes into account the inherent uncertainty regarding the process efficiencies even in the crisp data case. The approach is illustrated with a dataset from the literature. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码：36 / 49
页数：14
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