Fuzzy stochastic undesirable two-stage data envelopment analysis models with application to banking industry

This paper organizes a two-stage DEA models by taking into account undesirable output with fuzzy stochastic data. A normal distribution with fuzzy component adopted for inputs, intermediate outputs, desirable and undesirable outputs. We propose, finally, a linear and feasible model in deterministic...

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Bibliographic Details
Published inJournal of intelligent & fuzzy systems Vol. 37; no. 5; pp. 7047 - 7057
Main Authors Nasseri, Seyed Hadi, Khatir, Mehdi Ahmadi
Format Journal Article
LanguageEnglish
Published Amsterdam IOS Press BV 01.01.2019
Subjects
Banking
Banking industry
Data envelopment analysis
Normal distribution
Operations research
Statistical analysis
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Summary:This paper organizes a two-stage DEA models by taking into account undesirable output with fuzzy stochastic data. A normal distribution with fuzzy component adopted for inputs, intermediate outputs, desirable and undesirable outputs. We propose, finally, a linear and feasible model in deterministic form. To achieve this aim, a possibility-probability approach is applied on a reform of two-stage DEA models occupied with undesirable outputs. A case study in the banking industry is presented to exhibit the efficacy of the procedures and demonstrate the applicability of the proposed model. AMS Mathematics Subject Classification (2000): 62A86, 90C70
ISSN:1064-1246
1875-8967
DOI:10.3233/JIFS-181684