A Novel Two-Stage DEA Model in Fuzzy Environment: Application to Industrial Workshops Performance Measurement

被引：0
|
作者：
M. R. Soltani
S. A. Edalatpanah
F. Movahhedi Sobhani
S. E. Najafi
机构：
[1] Islamic Azad University,Department of Industrial Engineering, Science and Research Branch
[2] Ayandegan Institute of Higher Education,Department of Industrial Engineering
来源：
International Journal of Computational Intelligence Systems | 2020年 / 13卷
关键词：
Efficiency; Fuzzy data envelopment analysis; Two-stage DEA model; Industrial workshops;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
One of the paramount mathematical methods to compute the general performance of organizations is data envelopment analysis (DEA).Nevertheless, in some cases, the decision-making units (DMUs) have middle values. Furthermore, the conventional DEA models have been originally formulated solely for crisp data and cannot handle the problems with uncertain information. To tackle the above issues, this paper presents a two-stage DEA model with fuzzy data. The recommended technique is based on the fuzzy arithmetic and has a simple construction. Furthermore, to illustrate the new model, we investigate the efficiency of some industrial workshops in Iran. The results show the effectiveness and robustness of the new model.
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页码：1134 / 1152
页数：18
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