Open AccessA Computational Procedure Using Robust Ranking Method to Formulate and Solve Fuzzy DEA Models
Author(s) -
Mohammed Hadi Lafta,
Ali A. Sulaiman,
Rasheed Al-Salih
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1879/3/032006
Subject(s) - ranking (information retrieval) , computer science , fuzzy logic , mathematical optimization , mathematics , artificial intelligence
In some real-world applications, performance assessment often has to be considered under uncertainty with fuzzy input and output. Data envelopment analysis (DEA) is a new and effective approach to measuring the relative efficiency of decision-making units concerned with performance evaluation. Recently, DEA has studied with fuzzy input and output. In this paper, we present a computational procedure using a robust ranking method to formulate and solve fuzzy DEA models. Based on this approach, we convert the fuzzy DEA input and output from fuzzy form to crisp. Also, a case study has been presented as in [6] to assess the performance of eight manufacturing enterprises with fuzzy data.