基于粗糙属性约简和物之属性关联分析的新客户发掘方法

Method in finding new clients based on attributes' reductions of rough set and associate analysis of the matter element

讨论了如何从已有的客户数据信息中发掘出新的客户源.首先利用物元理论与粗糙集的方法对购买某种商品的客户的属性特征进行约简,并对约简后的属性计算其相对于客户决策的重要性,然后以约简后的属性取值集合为可拓集合构造各属性的关联函数,并结合属性重要性构造全局关联函数,以此来进行新客户的发掘.

The paper has discussed how to find new clients by researching the data information of the old clients. To the clients who has bought one kind of products, first we use the matter element theory and the rough set theory to get the reductions of their attributes. For the attributes in the reductions we calculate their significances to the clients' decision. Then based on the value sets of the attributes in the reduction, we construct the extension sets and the attributes' associate functions, and we can use the associate functions and the attributes' significances to construct the whole associate function. By the whole associate function's value we can judge which persons are the latent clients.