A Novel Two-Stage DEA Model in Fuzzy Environment: Application to Industrial Workshops Performance Measurement
- DOI
- 10.2991/ijcis.d.200731.002How to use a DOI?
- Keywords
- Efficiency; Fuzzy data envelopment analysis; Two-stage DEA model; Industrial workshops
- Abstract
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.
- Copyright
- © 2020 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Download article (PDF)
View full text (HTML)
Cite this article
TY - JOUR AU - M. R. Soltani AU - S. A. Edalatpanah AU - F. Movahhedi Sobhani AU - S. E. Najafi PY - 2020 DA - 2020/08/14 TI - A Novel Two-Stage DEA Model in Fuzzy Environment: Application to Industrial Workshops Performance Measurement JO - International Journal of Computational Intelligence Systems SP - 1134 EP - 1152 VL - 13 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.200731.002 DO - 10.2991/ijcis.d.200731.002 ID - Soltani2020 ER -