A Novel Two-Stage DEA Model in Fuzzy Environment: Application to Industrial Workshops Performance Measurement
M. R. Soltani, S. A. Edalatpanah, F. Movahhedi Sobhani and 1 more
International Journal of Computational Intelligence Systems · 2020
doi:10.2991/ijcis.d.200731.002 (opens in a new tab)
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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.
Abstract licence: CC BY-NC-ND
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