摘要
目前,在我国的工程保险费率(EIR)厘定中,一般采用固定费率表来确定保险费率.近年有人提出基于风险系数调整来厘定费率,主要依赖专家经验,采用了层次分析法(AHP)和模糊综合评价(FCE).为了更客观地确定工程保险费率,本文根据工程保险费率的厘定原理,引入RBF神经网络方法来进行风险分析,建立一种基于RBF网络的工程保险费率确定模型,可直接得出纯费率,为保险公司工程保险费率厘定提供参考工具.
At present, professionals usually used the fixed rate-table to calculate the engineering insurance rate （EIR） about EIR＇s calculation in China. In Recent years, some professionals proposed a method combined AHP and FCE methods to calculate the EIR, which was based on adjusting the coefficients of risk and depended on the experiences of experts. To calculate the EIR more objectively, the author proposes a creative method based on RBF neural networks to calculate the pure insurance rate based on the theory of EIR, and it can directly get the pure insurance rate by this method. The paper also provides a referential calculation toolkit for EIR＇s calculation to insurance company.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2008年第7期169-172,共4页
Systems Engineering-Theory & Practice
基金
重庆市哲学社会科学规划重点项目(2006-JJ02)
