Abstract：As lack of intelligence,traditional guarantee has drawbacks of too high load risk,too long approval time and causing customer drain.To solve these issues,the article put forward a new kind of neural network model based on rough set,and used analytic hierarchy process(AHP) and activity based classification(ABC) to realize customer grouping;then simulation test was done with company sample data.The results showed that guarantee system of intelligence could offer more accurate risk control,more short approval time and more rational customer grouping.So the model would be a new and good selection for intelligence guarantee system design.
陈刚； 刘秉权； 葛金虎. 基于商务智能的担保系统设计与仿真研究[J]. 南昌大学学报（工科版）, 2012, 34(02): 188-.
CHEN Gang1,LIU Bing-quan2,GE Jin-hu3. Design and Simulation Study of Guarantee System Based on Business Intelligence. , 2012, 34(02): 188-.
2012, Vol. 34 
