Efficiency analysis in bi-level on fuzzy input and output

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dc.authorscopusidFarhad Hosseinzadeh Lotfi / 6507921401
dc.authorscopusidAlireza Amirteimoori / 6602263748
dc.authorwosidFarhad Hosseinzadeh Lotfi / KOM-9666-2024
dc.authorwosidAlireza Amirteimoori / I-7703-2019
dc.contributor.authorGhaziyani, Kh
dc.contributor.authorLotfi, F. Hosseinzadeh
dc.contributor.authorKordrostami, Sohrab
dc.contributor.authorAmirteimoori, Alireza
dc.date.accessioned2025-03-11T06:35:39Z
dc.date.available2025-03-11T06:35:39Z
dc.date.issued2025
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü
dc.description.abstractTo enhance the conventional framework of data envelope analysis (DEA), a novel hybrid bi-level model is proposed, integrating fuzzy logic with triangular fuzzy numbers to effectively address data uncertainty. This model innovatively departs from the traditional DEA's 'black box' approach by incorporating inter-organizational relationships and the internal dynamics of decision-making units (DMUs). Utilizing a modified Russell's method, it provides a nuanced efficiency analysis in scenarios of ambiguous data. The study aims to enhance the accuracy and applicability of Data Envelopment Analysis in uncertain data environments. To achieve this, a novel hybrid bi-level model integrating fuzzy logic is presented. Validated through a case study involving 15 branches of a private Iranian bank, the model demonstrates improved accuracy in efficiency assessments and paves the way for future research in operational systems uncertainty management. The results indicated that, among the 15 branches of a private Iranian bank analyzed for the year 2022, branches 1, 10, and 11 demonstrated leader-level efficiency, while branch 3 exhibited follower-level efficiency, and branch 1 achieved overall efficiency. These branches attained an efficiency rating of E++, signifying a high level of efficiency within the model's parameters.
dc.identifier.citationGhaziyani, K., Lotfi, F. H., Kordrostami, S., & Amirteimoori, A. (2025). Efficiency analysis in bi-level on fuzzy input and output. Information Sciences, 690, 121551.
dc.identifier.doi10.1016/j.ins.2024.121551
dc.identifier.endpage26
dc.identifier.issn0020-0255
dc.identifier.issn1872-6291
dc.identifier.scopus2-s2.0-85207255362
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttp://dx.doi.org/10.1016/j.ins.2024.121551
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6002
dc.identifier.volume690
dc.identifier.wosWOS:001369155300001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAmirteimoori, Alireza
dc.institutionauthorLotfi, F. Hosseinzadeh
dc.institutionauthoridFarhad Hosseinzadeh Lotfi / 0000-0001-5022-553X
dc.institutionauthoridAlireza Amirteimoori / 0000-0003-4160-8509
dc.language.isoen
dc.publisherElsevier inc.
dc.relation.ispartofInformation sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBi-Level Model
dc.subjectData Envelopment Analysis (DEA)
dc.subjectEfficiency Evaluation
dc.subjectFuzzy Logic
dc.subjectTriangular Fuzzy Numbers
dc.subjectUncertainty Management
dc.titleEfficiency analysis in bi-level on fuzzy input and output
dc.typeArticle

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