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

Baser F., Dalkilic T., Kula K. S., Apaydin A.

Annual International Conference of the German-Operations-Research-Society (GOR), Neubiberg, Germany, 1 - 03 September 2010, pp.27-32, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1007/978-3-642-20009-0_5
  • City: Neubiberg
  • Country: Germany
  • Page Numbers: pp.27-32
  • Karadeniz Technical University Affiliated: Yes

Abstract

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).