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Attribute Priority Arrangement of Cancellations in the Life Insurance Using Rough Set

Attribute Priority Arrangement of Cancellations in the Life Insurance Using Rough Set

M.A. Elsafty, Hamed Mohamed Elkhawaga
Copyright: © 2018 |Volume: 9 |Issue: 4 |Pages: 28
ISSN: 1947-9247|EISSN: 1947-9255|EISBN13: 9781522544913|DOI: 10.4018/IJCRMM.2018100102
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MLA

Elsafty, M.A., and Hamed Mohamed Elkhawaga. "Attribute Priority Arrangement of Cancellations in the Life Insurance Using Rough Set." IJCRMM vol.9, no.4 2018: pp.16-43. http://doi.org/10.4018/IJCRMM.2018100102

APA

Elsafty, M. & Elkhawaga, H. M. (2018). Attribute Priority Arrangement of Cancellations in the Life Insurance Using Rough Set. International Journal of Customer Relationship Marketing and Management (IJCRMM), 9(4), 16-43. http://doi.org/10.4018/IJCRMM.2018100102

Chicago

Elsafty, M.A., and Hamed Mohamed Elkhawaga. "Attribute Priority Arrangement of Cancellations in the Life Insurance Using Rough Set," International Journal of Customer Relationship Marketing and Management (IJCRMM) 9, no.4: 16-43. http://doi.org/10.4018/IJCRMM.2018100102

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Abstract

This article presents a method for the rough set which attributes priority arrangement of cancellations in the life insurance. The number of canceled documents on the rise plus they're oscillatory and also the rates of cancellations in constant fluctuation, which requires searching in the problem of cancellations of this document, needs to be investigated in the future. It is obvious that these cancellations negatively affect the result operations of insurance companies. The article identifies the most important variables that affect the rates of cancellations and so as to reach solutions that lead to reducing the number of canceled documents by using the Rough model. The rough model was used to identify the determinants of cancellations in the life insurance of the Egyptian insurance market, so as to reach solutions that lead to reduce the number of canceled policies and find solutions to them. These findings prove that the most important factors that affect the cancellations for insurance policies are policy premiums, insurance period and age of policyholders, respectively.

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