An Approach of Adaptive Network Based Fuzzy Inference System to Risk Classification in Life Insurance
Yazarlar (4)
Ankara Üniversitesi, Türkiye
Karadeniz Teknik Üniversitesi, Türkiye
Prof. Dr. Kamile ŞANLI KULA
Kırşehir Ahi Evran Üniversitesi, Türkiye
Ankara Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | OPERATIONS RESEARCH PROCEEDINGS 2010 | ||
| Dergi ISSN | 0721-5924 | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2011 |
| Cilt / Sayı / Sayfa | 0 / 0 / 27–32 | DOI | 10.1007/978-3-642-20009-0_5 |
| Özet |
| In this paper, we propose ANFIS based system modeling for classifying risks in life insurance. We differentiate policyholders on the basis of their cardiovascular risk characteristics and estimate risk loading ratio to obtain gross premiums paid by the insured. In this context, an algorithm which expresses the relation between the dependent and independent variables by more than one model is proposed to use. Estimated values are obtained by using this algorithm, based on ANFIS. In order to show the performance evaluation of the proposed method, the results are compared with the results obtained from the Least Square Method (LSM). |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| WoS | 1 |