| dc.contributor.author | Kula K.S. | |
| dc.contributor.author | Tank F. | |
| dc.contributor.author | Dalkiliç T.E. | |
| dc.date.accessioned | 2019-11-24T20:57:50Z | |
| dc.date.available | 2019-11-24T20:57:50Z | |
| dc.date.issued | 2012 | |
| dc.identifier.issn | 1300686X | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12513/2870 | |
| dc.description.abstract | In this study, a fuzzy robust regression method is proposed to construct a model that describes the relation between dependent and independent variables in insurance. Fuzzy robust regression suggested as an alternative to not only ordinary least squares but also classical robust regression. Fuzzy robust regression is finally investigated and discussed by an example with real data arose from a well-known insurance company in Turkey. | en_US |
| dc.language.iso | eng | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Fuzzy regression | en_US |
| dc.subject | Insurance | en_US |
| dc.subject | Membership function | en_US |
| dc.subject | Robust regression | en_US |
| dc.title | A study on fuzzy robust regression and its application to insurance | en_US |
| dc.type | article | en_US |
| dc.relation.journal | Mathematical and Computational Applications | en_US |
| dc.contributor.department | Kırşehir Ahi Evran Üniversitesi, Fen-Edebiyat Fakültesi, Matematik Bölümü | en_US |
| dc.identifier.volume | 17 | en_US |
| dc.identifier.issue | 3 | en_US |
| dc.identifier.startpage | 223 | en_US |
| dc.identifier.endpage | 234 | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
