An Approach of Adaptive Network Based Fuzzy Inference System to Risk Classification in Life Insurance

Baser F., ERBAY DALKILIÇ T., ŞANLI KULA K., APAYDIN A.

Annual International Conference of the German-Operations-Research-Society (GOR), Neubiberg, Almanya, 1 - 03 Eylül 2010, ss.27-32 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1007/978-3-642-20009-0_5
  • Basıldığı Şehir: Neubiberg
  • Basıldığı Ülke: Almanya
  • Sayfa Sayıları: ss.27-32
  • Gazi Üniversitesi Adresli: Evet

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).