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

In 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 belongin...

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Autores principales: Tarık Cakar, Raşit Koker, Muhammed Ali Narin
Formato: article
Lenguaje:EN
Publicado: UIKTEN 2021
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Acceso en línea:https://doaj.org/article/c2d99cec2d974323b9f5f318828c02f4
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spelling oai:doaj.org-article:c2d99cec2d974323b9f5f318828c02f42021-12-01T21:00:28ZNeurotic Fuzzy-Data-Envelopment Analysis to Forecast Efficiency of Bank Branches10.18421/TEM104-362217-83092217-8333https://doaj.org/article/c2d99cec2d974323b9f5f318828c02f42021-11-01T00:00:00Zhttps://www.temjournal.com/content/104/TEMJournalNovember2021_1751_1760.pdfhttps://doaj.org/toc/2217-8309https://doaj.org/toc/2217-8333In 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).Tarık CakarRaşit KokerMuhammed Ali NarinUIKTENarticleartificial neural networksforecastingfuzzy data envelopment analysisEducationLTechnologyTENTEM Journal, Vol 10, Iss 4, Pp 1751-1760 (2021)
institution DOAJ
collection DOAJ
language EN
topic artificial neural networks
forecasting
fuzzy data envelopment analysis
Education
L
Technology
T
spellingShingle artificial neural networks
forecasting
fuzzy data envelopment analysis
Education
L
Technology
T
Tarık Cakar
Raşit Koker
Muhammed Ali Narin
Neurotic Fuzzy-Data-Envelopment Analysis to Forecast Efficiency of Bank Branches
description In 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).
format article
author Tarık Cakar
Raşit Koker
Muhammed Ali Narin
author_facet Tarık Cakar
Raşit Koker
Muhammed Ali Narin
author_sort Tarık Cakar
title Neurotic Fuzzy-Data-Envelopment Analysis to Forecast Efficiency of Bank Branches
title_short Neurotic Fuzzy-Data-Envelopment Analysis to Forecast Efficiency of Bank Branches
title_full Neurotic Fuzzy-Data-Envelopment Analysis to Forecast Efficiency of Bank Branches
title_fullStr Neurotic Fuzzy-Data-Envelopment Analysis to Forecast Efficiency of Bank Branches
title_full_unstemmed Neurotic Fuzzy-Data-Envelopment Analysis to Forecast Efficiency of Bank Branches
title_sort neurotic fuzzy-data-envelopment analysis to forecast efficiency of bank branches
publisher UIKTEN
publishDate 2021
url https://doaj.org/article/c2d99cec2d974323b9f5f318828c02f4
work_keys_str_mv AT tarıkcakar neuroticfuzzydataenvelopmentanalysistoforecastefficiencyofbankbranches
AT rasitkoker neuroticfuzzydataenvelopmentanalysistoforecastefficiencyofbankbranches
AT muhammedalinarin neuroticfuzzydataenvelopmentanalysistoforecastefficiencyofbankbranches
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