Abstract
The process of insurance underwriting determines whether insurance company will accept an application for insurance. It is a complex decision-making process and due to information overload problems, it becomes harder for the insurance
companies to efficiently estimate risks in a reasonable time. In this paper we present a framework of an expert system for insurance premium assessment. It combines various Artificial Intelligence techniques, both supervised and unsupervised learning. The proposed framework certainly does not pretend to
replace a human underwriter by an electronic one. Rather, it aims at producing viable estimations regarding the clients risk levels, allowing to speed-up the underwriting process and to utilize new potentials.
companies to efficiently estimate risks in a reasonable time. In this paper we present a framework of an expert system for insurance premium assessment. It combines various Artificial Intelligence techniques, both supervised and unsupervised learning. The proposed framework certainly does not pretend to
replace a human underwriter by an electronic one. Rather, it aims at producing viable estimations regarding the clients risk levels, allowing to speed-up the underwriting process and to utilize new potentials.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Informatics, ICI 2004 |
| Pages | 191-197 |
| Number of pages | 7 |
| Publication status | Published - 2004 |
| Externally published | Yes |
| Event | International Conference on Informatics - Cesme Izmir Turkey Duration: 16 Sep 2004 → 20 Sep 2004 |
Conference
| Conference | International Conference on Informatics |
|---|---|
| City | Cesme Izmir Turkey |
| Period | 16/09/04 → 20/09/04 |