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An Approach of Adaptive Network Based Fuzzy Inference System to Risk Classification in Life Insurance   
Yazarlar
Furkan Başer
Ankara Üniversitesi, Türkiye
Türkan Erbay Dalkılıç
Karadeniz Teknik Üniversitesi, Türkiye
Prof. Dr. Kamile ŞANLI KULA Prof. Dr. Kamile ŞANLI KULA
Ahi Evran Üniversitesi, Türkiye
Ayşen Apaydın
Ankara Üniversitesi, Türkiye
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
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı OPERATIONS RESEARCH PROCEEDINGS 2010
Dergi ISSN 0721-5924
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce
Basım Tarihi 01-2011
Sayfalar 27 / 32
Doi Numarası 10.1007/978-3-642-20009-0_5