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

Furkan Başer (), Türkan E. Dalkiliç (), Kamile Ş. Kula () and Ayşen Apaydin ()
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Furkan Başer: Gazi University
Türkan E. Dalkiliç: Karadeniz Technical University
Kamile Ş. Kula: Ahi Evran University
Ayşen Apaydin: Ankara University

A chapter in Operations Research Proceedings 2010, 2011, pp 27-32 from Springer

Abstract: 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).

Keywords: Fuzzy Inference System; Life Insurance; Fuzzy Variable; Adaptive Network Base Fuzzy Inference System; Class Rate (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-642-20009-0_5

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DOI: 10.1007/978-3-642-20009-0_5

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