Knowledge discovery for customer classification on the principle of maximum profit

被引:0
|
作者
Zeng, Chuanhua [1 ]
Xu, Yang [2 ]
Xie, Weicheng [3 ]
机构
[1] Xihua Univ, Coll Automobile & Transportat Engn, Chengdu 610039, Peoples R China
[2] Southwest Jiaotong Univ, Intelligent Control Dev Ctr, Chengdu 610031, Peoples R China
[3] Xihua Univ, Coll Elect & Informat Engn, Chengdu 610039, Peoples R China
来源
APPLIED ARTIFICIAL INTELLIGENCE | 2006年
关键词
D O I
10.1142/9789812774118_0036
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It is one of the most important strategies to make management according to the classification of customers. A new method to classify customers is presented in this paper. Firstly we try to find the key background information by simplifying the decision table based on the rough set theory; secondly we get to know the profit by analyzing the sale and the cost of customers; and finally, we get the decision rules on the principle of maximum profit. As such, we could reason out to which class that a new customer belongs and select a good way to serve him, thus achieving the optimal economic benefit for enterprises.
引用
收藏
页码:241 / +
页数:2
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