@article{Zavieh2024, 
author = {Hadi Zavieh and Parastoo Niksefat and Seyed Hadi Nasseri},
title = {An Inverse BCC Model for Evaluating and Ordering Decision-Making Units under Fuzziness},
year = {2024},
journal = {Fuzzy Information and Engineering},
volume = {16},
number = {1},
pages = {89-101},
keywords = {fuzzy mathematical programming, fuzzy ordering, data envelopment analysis},
url = {https://www.sciopen.com/article/10.26599/FIE.2023.9270034},
doi = {10.26599/FIE.2023.9270034},
abstract = {One of the most ‎prevalent problems in linear programming as one of the convenient models in the field of operation research ‎‎environment is Data Envelopment Analysis (DEA), which supports the ‎efficiency of ‎‎Decision-Making Units (DMUs). Usually, accurate data are common; however, in ‎the real world, we are facing an inaccurate ‎situation. In this paper, a new ‎model for assessing DMUs in a fuzzy environment is presented; we ‎consider the inverse DEA ‎model with the variable return to scale with fuzzy numbers for fluctuating ‎data. A case study is given to ‎illustrate its performance.}
}