Neurotic Fuzzy-Data-Envelopment Analysis to Forecast Efficiency of Bank Branches

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dc.contributor.authorÇakar, Tarık
dc.contributor.authorKöker, Raşit
dc.contributor.authorNarin, Muhammed Ali
dc.date.accessioned2023-08-11T18:07:31Z
dc.date.available2023-08-11T18:07:31Z
dc.date.issued2021en_US
dc.departmentMühendislik ve Mimarlık Fakültesien_US
dc.description.abstractIn this study the prediction of efficiency of four different Bank Branches have been done by using Neurotic Fuzzy Data Envelopment Analysis approach. In the first stage of the study, Artificial Neural Network (ANN) model has been modelled and trained using the last five years data. The data belonging any year has been taken as input of ANN, next year data has been defined as output of ANN. Fuzzyfication process has been applied to obtained predictions based on asking managers of bank branches, after Fuzzy Data Envelopment Analysis process has been applied to fuzzy values. As a result, the bank branches parameters belonging to 2021 year have been obtained. The efficiency of 2021 for bank branches have been calculated based on Fuzzy Data Envelopment Analysis (FDEA).en_US
dc.identifier.doi10.18421/TEM104-36en_US
dc.identifier.endpage1760en_US
dc.identifier.issn2217-8309
dc.identifier.issn2217-8333
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85121785460en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1751en_US
dc.identifier.urihttps://hdl.handle.net/11363/5261
dc.identifier.urihttps://doi.org/
dc.identifier.volume10en_US
dc.identifier.wosWOS:000733414200036en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÇakar, Tarık
dc.language.isoenen_US
dc.publisherUIKTEN - ASSOC INFORMATION COMMUNICATION TECHNOLOGY EDUCATION & SCIENCE, HILMA ROZAJCA 15, NOVI PAZAR 36300, SERBIAen_US
dc.relation.ispartofTEM JOURNAL - Technology, Education, Management, Informaticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectArtificial Neural Networksen_US
dc.subjectForecastingen_US
dc.subjectFuzzy Data Envelopment Analysisen_US
dc.titleNeurotic Fuzzy-Data-Envelopment Analysis to Forecast Efficiency of Bank Branchesen_US
dc.typeArticleen_US

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