吉林大学学报(信息科学版) ›› 2014, Vol. 32 ›› Issue (5): 534-538.

• 论文 • 上一篇    下一篇

连续型目标信息系统的属性约简

王秀秀, 王阿岩, 王长忠   

  1. 渤海大学 数理学院, 辽宁 锦州 121000
  • 收稿日期:2013-11-13 出版日期:2014-09-26 发布日期:2014-12-26
  • 作者简介:王秀秀(1988—), 女, 辽宁庄河人, 渤海大学硕士研究生, 主要从事粒计算与模式识别理论与方法研究, (Tel)86-15241622803(E-mail)wangxiuxiujiayou@126.com; 王长忠(1968—), 男, 内蒙古商都人, 渤海大学副教授, 博士, 硕士生导师, 主要从事粒计算、 模式识别和数据挖掘研究, (Tel)86-15041656439(E-mail)changzhongwang@126.com。
  • 基金资助:

    国家自然科学基金资助项目(61070242); 辽宁省优秀人才支持计划基金资助项目(LR2012039)

Attribute Reduction in Numerical Decision Systems

WANG Xiuxiu, WANG Ayan, WANG Changzhong   

  1. College of Mathematics and Physics, Bohai University, Jinzhou 121000, China
  • Received:2013-11-13 Online:2014-09-26 Published:2014-12-26

摘要:

针对连续型数据的属性约简问题, 提出了一种新的属性约简方法[CD2]基于分配可辨识矩阵的属性约简方法。给出了基于连续型数据的分配协调集的概念, 研究了基于连续型数据的分配协调集的基本性质, 定义了基于分配协调集的辨识矩阵。在此基础上提出了基于辨识矩阵的连续型数据的属性约简方法, 并给出了计算辨识矩阵的算法。实例分析表明, 该方法能有效地对连续型数据进行属性约简。

关键词: 粗糙集, 识矩阵, 性约简, 续值域信息系统

Abstract:

A method which aims at attribute reduction based on assignment set in numerical data sets is proposed. Firstly, the concept and some important properties of assignment set based on numerical data sets was presented. Then, authors defined dicernibility matrix based on assignment set, and proposed a new
 method for attribute reduction based on discernibility matrix in numerical data sets. Finally, an algorithm for computing discernibility matrix was presented.
Example analysis show that this method can effectively handle attribute reduction in numerical decision systems.

Key words: rough sets, discernibility matrix, attribute reduction, numerical decision systems

中图分类号: 

  • TP18