Risk adjustment model of credit life insurance using a genetic algorithm

Indonesian Operations Research Association - International Conference on Operations Research 2017

Saputra, A.^1 ; Sukono^1 ; Rusyaman, E.^1

Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia^1

关键词: Aggregate claims;    claims;    Collective risk;    Distribution models;    Individual risk models;    Insurance companies;    Risk characteristics;    Roulette wheel selection;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/332/1/012007/pdf
DOI  :  10.1088/1757-899X/332/1/012007

来源: IOP

【 摘 要 】

In managing the risk of credit life insurance, insurance company should acknowledge the character of the risks to predict future losses. Risk characteristics can be learned in a claim distribution model. There are two standard approaches in designing the distribution model of claims over the insurance period i.e, collective risk model and individual risk model. In the collective risk model, the claim arises when risk occurs is called individual claim, accumulation of individual claim during a period of insurance is called an aggregate claim. The aggregate claim model may be formed by large model and a number of individual claims. How the measurement of insurance risk with the premium model approach and whether this approach is appropriate for estimating the potential losses occur in the future. In order to solve the problem Genetic Algorithm with Roulette Wheel Selection is used.