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基于RBF网络的工程保险费率厘定研究

The research for engineering insurance rate calculation based on the RBF neural networks

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【作者】 傅鸿源姚尧李良

【Author】 FU Hong-yuan1, YAO Yao1, LI Liang2(1.Faculty of Construction Management and Real Estate, Chongqing University, Chongqing 400045,China; 2.College of Automation, Chongqing University, Chongqing 400044,China)

【机构】 重庆大学建设管理与房地产学院重庆大学自动化学院 重庆400045重庆400045重庆400044

【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.

【Abstract】 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.

【基金】 重庆市哲学社会科学规划重点项目(2006-JJ02)
  • 【文献出处】 系统工程理论与实践 ,Systems Engineering-Theory & Practice , 编辑部邮箱 ,2008年07期
  • 【分类号】F840.681;F224
  • 【被引频次】34
  • 【下载频次】463
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