摘要
粗糙集理论的主要思想是在保持分类能力不变的前提下,通过属性约简和值约简,提取决策规则。设计了一个基于粗糙集的客户分类模型,并利用粗糙集的知识约简和决策规则提取算法对超市客户进行了分析。通过决策表约简,剔除冗余属性、消除过剩规则。最后得出了属性约简的最小化结果以及决策规则。
The main idea of rough set theory is to extract decision rules by attribute reduction and value reduction in the premises of keeping the ability of classification.This paper describes the design of model for customer division based on rough set,and uses algorithms for attribute reduction and rule extraction in rough set to analyze the customer of supermarket. This paper also introduces how to achieve the minimum result of attribute reduction and decision-making via decision-making report,winkling redundant attribute and over-rule of decision.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第34期205-207,共3页
Computer Engineering and Applications
基金
国家火炬计划项目(o.2005EB010224)~~
关键词
粗糙集
属性约简
决策表
差别矩阵
rough set
attribute reduction
decision-table
discernibility matrix
