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不完备系统中基于特征关系的知识约简
引用本文:杨习贝,杨静宇,於东军,吴小俊,郑宇杰.不完备系统中基于特征关系的知识约简[J].江南大学学报(自然科学版),2007,6(6):690-693.
作者姓名:杨习贝  杨静宇  於东军  吴小俊  郑宇杰
作者单位:1. 南京理工大学,计算机科学与技术学院,江苏,南京,210094
2. 江南大学信息工程学院,江苏无锡,214122
3. 中国电子科技集团公司第28研究所,江苏,南京,210007
基金项目:国家自然科学基金项目(60472060,60572034),国家自然科学基金重点项目(60632050),江苏省自然科学基金项目(BK2006081)
摘    要:以同时具有丢失型和遗漏型未知属性值的不完备系统为研究对象,根据特征关系讨论了其中的知识约简问题.在不完备决策系统中,引入了近似分布约简的概念并给出了相应的判定定理与辨识矩阵,为从复杂的不完备系统中获取知识提供了新的理论基础与技术手段.

关 键 词:不完备信息系统  特征关系  粗糙集  知识约简
文章编号:1671-7147(2007)06-0690-04
修稿时间:2007年7月6日

Knowledge Reductions in Incomplete Systems Based on Characteristic Relation
YANG Xi-bei,YANG Jing-yu,YU Dong-jun,WU Xiao-jun,ZHENG Yu-jie.Knowledge Reductions in Incomplete Systems Based on Characteristic Relation[J].Journal of Southern Yangtze University:Natural Science Edition,2007,6(6):690-693.
Authors:YANG Xi-bei  YANG Jing-yu  YU Dong-jun  WU Xiao-jun  ZHENG Yu-jie
Institution:YANG Xi-bei1,YANG Jing-yu1,YU Dong-jun1,WU Xiao-jun2,ZHENG Yu-jie3
Abstract:In this paper,the incomplete information system in which lost and "do not care" unknown values are coexisting is thoroughly investigated.Based on the characteristic relation,approach to knowledge reduction in the incomplete information system is studied.From the viewpoint of characteristic relation based rough set model,the approximate distribution reduction is introduced into the incomplete decision system.The judgment theorems and discernibility matrixes associated with these knowledge reductions are also obtained.The research is meaningful both in the theory and in applications for the acquisition of rules in the complex incomplete information systems.
Keywords:incomplete information system  characteristic relation  rough set  knowledge reduction
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