基于粗糙集理论的续保规则挖掘模型

Mining Model for the Insurance Retainment Rules Based on Rough Sets

基于粗糙集基本理论,分析了衡量规则价值的方法,构建了一个基于粗糙集理论的续保规则挖掘模型.运用该模型对10000条车险保单客户数据进行了分析,挖掘出隐含在这些数据中的续保规则,找到了续保客户的描述性特征.

The objective of this research is to draw the characteristics of insurance retainment consumers from the customer data and provide technical supports for improving retainment rate efficiently and the profit earning capacity. Rough sets are used in this research. It introduces some basic concepts and applications of rough set and describes the evaluation methods of rules. Then it establishes a mining model for the insurance retainment rules based on rough sets. Finally, with the model, 10 000 data is analyzed, and several retainment rules are extracted from the data of customers, and the characteristics of some kind of insurance retainment consumers are found. This research innovatively makes use of rough sets, and constructs a mining model for the insurance retainment rules based on rough sets, and obtains some efficient retainment rules through data analysis.