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Insurance Premium Optimization: Perspective of Insurance Seeker and Insurance Provider
Author(s) -
Nidhi Arora,
Poonam Arora
Publication year - 2014
Publication title -
journal of management and science
Language(s) - English
Resource type - Journals
eISSN - 2250-1819
pISSN - 2249-1260
DOI - 10.26524/jms.2014.6
Subject(s) - payment , actuarial science , auto insurance risk selection , insurance policy , general insurance , insurance premium , business , key person insurance , finance
The paper proposes a utilitarian and newfangled design of life insurance premium payment. Insurance companies provide insurance to the policy holders and in turn the policy holders have to pay insurance premium periodically. In this paper, we study the important factors to be considered at the time of selecting the term of premium payment of insurance. The intention is to extend this study to a method which can machinate and assist users in deciding the term and amount of premium payment. Our aim here is twin-fold; one, to evoke a novel way to policy holder to decide the least premiums to be paid and second, to devise a manner for insurance provider to collect maximum premiums. With this twofold aim, we propose a hybrid soft computing optimization model using Neuro-Fuzzy approach and Particle Swarm Optimization.

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