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

In: Operations Research Proceedings 2010

Author

Listed:
  • Furkan Başer

    (Gazi University)

  • Türkan E. Dalkiliç

    (Karadeniz Technical University)

  • Kamile Ş. Kula

    (Ahi Evran University)

  • Ayşen Apaydin

    (Ankara University)

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).

Suggested Citation

  • Furkan Başer & Türkan E. Dalkiliç & Kamile Ş. Kula & Ayşen Apaydin, 2011. "An Approach of Adaptive Network Based Fuzzy Inference System to Risk Classification in Life Insurance," Operations Research Proceedings, in: Bo Hu & Karl Morasch & Stefan Pickl & Markus Siegle (ed.), Operations Research Proceedings 2010, pages 27-32, Springer.
    • Handle: RePEc:spr:oprchp:978-3-642-20009-0_5
    DOI: 10.1007/978-3-642-20009-0_5
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