Research on Classification of Attribute in Information System Based on Rough Set Theory

陈秀明; 王璐

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Research on Classification of Attribute in Information System Based on Rough Set Theory

更新时间：2026-09-14

- Research on Classification of Attribute in Information System Based on Rough Set Theory
- 基于粗糙集方法的信息系统中属性划分方法研究
- Vol. 33, Issue 6, Pages: 695-698(2012)
- 作者机构：
  
  1. 青海大学机械工程学院
  2. 青海大学计算机技术与应用系
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2012
- 稿件说明：
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陈秀明, 王璐. Research on Classification of Attribute in Information System Based on Rough Set Theory[J]. 2012, 33(6): 695-698.
DOI：

陈秀明, 王璐. Research on Classification of Attribute in Information System Based on Rough Set Theory[J]. 2012, 33(6): 695-698. DOI：

摘要

针对目前数据挖掘隐私保护中信息系统属性分类问题

基于粗糙集理论提出了一种信息系统中属性划分方法.首先对信息系统中的易获知属性和敏感属性进行定义和描述

然后在属性依赖度和属性重要度的基础上

提出了信息系统中属性的敏感系数的定义.实验结果表明:该方法简单、直观

对信息系统进行属性划分与属性约简得到的结果是一致的.

Abstract

In the light of Classification of Attribute in Information System in the data mining of privacy preserving

a method of attribute classification had been proposed

based on rough set theory.First

easily-knowing attribute and sensitive attribute had been defined and described in the method.Second

based on the attribute dependence and attribute importance

the definition of attribute sensitivity coefficient in the information system had been proposed.The experimental results show that the method is simple

intuitive and the attribute classification with the method in the information system is consistent with the result of the attribute reduction.

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Keywords

references

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