Publication:
Loan payment prediction using rough sets

dc.contributor.authorsRuzgar, Baradtin; Ruzgar, Nursel Selver
dc.contributor.editorLong, C
dc.contributor.editorSohrab, SH
dc.contributor.editorBognar, G
dc.contributor.editorPerlovsky, L
dc.date.accessioned2022-03-12T16:00:12Z
dc.date.accessioned2026-01-10T17:06:12Z
dc.date.available2022-03-12T16:00:12Z
dc.date.issued2008
dc.description.abstractIn small business loans, there is always a risk for nonpayment or non-refunding of loans though very detailed examinations are made about the company. In this study, behaviors that increase the risk in loans or causing non-refunding are tried to be determined by using the rough set approach. This paper will demonstrate that rough sets model is applicable to a wide range of practical problems pertaining to loan payment prediction. Moreover, the results show that the rough sets model is a promising alternative to the conventional methods for financial prediction.
dc.identifier.doidoiWOS:000255184600017
dc.identifier.isbn978-960-6766-47-3
dc.identifier.issn1792-4308
dc.identifier.urihttps://hdl.handle.net/11424/224617
dc.identifier.wosWOS:000255184600017
dc.language.isoeng
dc.publisherWORLD SCIENTIFIC AND ENGINEERING ACAD AND SOC
dc.relation.ispartofRECENT ADVANCES ON APPLIED MATHEMATICS: PROCEEDINGS OF THE AMERICAN CONFERENCE ON APPLIED MATHEMATICS (MATH '08)
dc.relation.ispartofseriesMathematics and Computers in Science and Engineering
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectloan payment failure
dc.subjectprediction
dc.subjectrough sets
dc.subjectclassification
dc.subjectINSOLVENCY
dc.titleLoan payment prediction using rough sets
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage+
oaire.citation.startPage124
oaire.citation.titleRECENT ADVANCES ON APPLIED MATHEMATICS: PROCEEDINGS OF THE AMERICAN CONFERENCE ON APPLIED MATHEMATICS (MATH '08)

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