Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (11): 32-34.DOI: 10.3778/j.issn.1002-8331.2010.11.010

• 研究、探讨 • Previous Articles     Next Articles

Knowledge inclusion and its application in rough set theory

WANG Bao-li1,LIANG Ji-ye2,QIAN Yu-hua2   

  1. 1.Department of Applied Mathematics,Yuncheng University,Yuncheng,Shanxi 044000,China
    2.Key Laboratory of Computational intelligence & Chinese Information Processing of MOE,Shanxi University,Taiyuan,030006,China
  • Received:2008-10-10 Revised:2008-12-22 Online:2010-04-11 Published:2010-04-11
  • Contact: WANG Bao-li

知识包含度及其在粗糙集理论中的应用

王宝丽1,梁吉业2,钱宇华2   

  1. 1.运城学院 应用数学系,山西 运城 044000
    2.山西大学 计算智能与中文信息处理教育部重点实验室,太原 030006
  • 通讯作者: 王宝丽

Abstract: A new set inclusion is proposed,and by using the new set inclusion,knowledge inclusion is given in rough set theory.Furthermore,several important properties of knowledge inclusion are studied,and a attribute reduct algorithm based on knowledge inclusion is designed,in the end,the effective of the algorithm is showed in a decision table about the performance of the cars.

Key words: knowledge inclusion, rough set, rule acquisition

摘要: 提出一种新的集合包含度,并用新的集合包含度定义粗糙集理论中的知识包含度。研究了知识包含度的几个基本性质,给出了粗糙集理论中基于知识包含度的属性约简算法,通过一个汽车性能决策表的实例来表明算法的有效性。

关键词: 知识包含度, 粗糙集, 规则获取

CLC Number: