A novel multi-criteria analysis model for the performance evaluation of bank regions: an application to Turkish agricultural banking

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dc.authoridhttps://orcid.org/0000-0003-0203-4047en_US
dc.authoridhttps://orcid.org/0000-0002-0913-8351en_US
dc.contributor.authorTüysüz, Fatih
dc.contributor.authorTüysüz, Nurdan
dc.date.accessioned2023-08-23T13:27:01Z
dc.date.available2023-08-23T13:27:01Z
dc.date.issued2020en_US
dc.departmentMühendislik ve Mimarlık Fakültesien_US
dc.description.abstractThe banks serve in a highly dynamic and competitive environment and need to systematically evaluate their performance to improve their competitiveness. Performance evaluation is an important and complex process that requires flexible and analytic methods while handling the multidimensionality of the problem. This study presents a hybrid multi-criteria performance evaluation model for banking sector which combines two multi-criteria decision making methods that are simulation-integrated hesitant fuzzy linguistic term sets-based analytic hierarchy process method to determine the importance level of each criterion according to the decision makers’ subjective judgements and grey relational analysis method to rank bank regions according to their performance values. The presented model is based on both probability theory and fuzzy sets theory and thus better represents all the dimensions of the uncertainty inherent in decision making process. A real-life application of the proposed performance evaluation model for a private bank operating in agricultural banking sector in Turkey is also given to illustrate the effectiveness and the applicability of the model.en_US
dc.identifier.doi10.1007/s00500-019-04279-7en_US
dc.identifier.endpage5311en_US
dc.identifier.issn1432-7643
dc.identifier.issn1433-7479
dc.identifier.issue7en_US
dc.identifier.scopus2-s2.0-85070888317en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage5289en_US
dc.identifier.urihttps://hdl.handle.net/11363/5402
dc.identifier.urihttps://doi.org/
dc.identifier.volume24en_US
dc.identifier.wosWOS:000530043200039en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTüysüz, Nurdan
dc.language.isoenen_US
dc.publisherSPRINGER, ONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATESen_US
dc.relation.ispartofSoft Computingen_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.subjectBankingen_US
dc.subjectPerformance evaluationen_US
dc.subjectSimulationen_US
dc.subjectHesitant fuzzy setsen_US
dc.subjectAHPen_US
dc.subjectGRAen_US
dc.titleA novel multi-criteria analysis model for the performance evaluation of bank regions: an application to Turkish agricultural bankingen_US
dc.typeArticleen_US

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