模糊数学在环境污染责任保险费率厘定中的运用
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引用本文:陈迪红,贾锐锐.模糊数学在环境污染责任保险费率厘定中的运用[J].经济数学,2011,(2):49-53
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作者单位
陈迪红,贾锐锐 (湖南大学 金融与统计学院 湖南 长沙410079 ) 
中文摘要:环境污染责任保险因开展经验及历史数据不足致费率难以合理厘定,引入模糊信息粒及综合评价理论,相对传统方法,更能实现费率厘定的公平合理,保障各方利益.本文以化学原料及化学制品制造业为研究对象,首先运用模糊信息粒理论处理历史数据,克服数据模糊不确定性,得出第三者赔偿额的模糊信息粒X~;其次运用传统精算定价方法得出行业基准费率的模糊信息粒p~;最后运用模糊综合评价二级评价理论,综合追溯期、企业规模等影响因素,得出投保企业风险综合评价集B~,以此修正基准费率.
中文关键词:环境污染责任保险  费率厘定  模糊信息粒  模糊综合评价
 
Application of Fuzzy Mathematics to the Environmental Pollution Liability Insurance Rate Making
Abstract:The environmental pollution liability insurance can’t be reasonably rated, because the data and experience are insufficient. Compared with traditional method, applying fuzzy mathematics to rate the environmental pollution liability insurance can get more reasonable rate and ensure the rights and interests of every part. This paper researched the environmental pollution liability insurance of raw chemical materials and chemical products. First, the fuzzy information theory was used to deal with historical data, which can resolve the ambiguity of historical data and can get the fuzzy information X~ of the compensation to the third party. Second, the traditional method was used to get the fuzzy information p~ of the standard rate. Finally, overall considering the factors, the fuzzy comprehensive evaluation theory was used to get the comprehensive evaluation assemblage B~ to correct the standard rate.
keywords:environmental pollution liability insurance  rate making  fuzzy information  fuzzy comprehensive evaluation
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