An OWA Operator-Based Cumulative Belief Degrees Approach for Credit Rating

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dc.contributor.authorGul, Sait
dc.contributor.authorKabak, Ozgur
dc.contributor.authorTopcu, Y. Ilker
dc.date.accessioned2024-03-13T10:30:38Z
dc.date.available2024-03-13T10:30:38Z
dc.date.issued2018
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractCredit lenders utilize credit rating approaches to provide a classification system for characterizing credit borrowers. In order to measure the borrowers' credibility, that is, ability and willingness to repay the debt, there are many financial and non-financial criteria that should be considered. The basic aim of this study is to propose a multiple-criteria credit rating approach that integrates different kinds of information and represents the borrowers' credibility as a distribution among all the credit ratings. The cumulative belief degree approach is proposed for this purpose. Since all the available information is used in the final representation, a distribution-based credit rating approach is expected to strengthen the lender's inference competency. In order to eliminate subjectivity in the weighting of criteria, an ordered weighted averaging operator is used. Additionally, the credit rating distribution can be transformed into a single credit rating by considering a threshold value. This study proposes a goodness-of-fit test to handle the subjectivity and difficulty of setting the threshold value. The applicability of the proposed approach is demonstrated by analyzing the credibility of selected Turkish firms from the stock exchange market of Turkey. (C) 2017 Wiley Periodicals, Inc.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TuBITAK) scholarship programme [1649B031200042]; Istanbul Technical University BAP [38818]en_US
dc.description.sponsorshipThis work was supported by Istanbul Technical University BAP (grant number 38818). Additionally, Sait Gul has been beneficiary of The Scientific and Technological Research Council of Turkey (TuBITAK) scholarship programme (scholar id: 1649B031200042) since 2012.en_US
dc.identifier.doi10.1002/int.21909
dc.identifier.endpage1026en_US
dc.identifier.issn0884-8173
dc.identifier.issn1098-111X
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85018321798
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage998en_US
dc.identifier.urihttps://doi.org/10.1002/int.21909
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3451
dc.identifier.volume33en_US
dc.identifier.wosWOS:000428795300005
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofInternational Journal Of Intelligent Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleAn OWA Operator-Based Cumulative Belief Degrees Approach for Credit Ratingen_US
dc.typeArticleen_US

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