首页 | 本学科首页   官方微博 | 高级检索  
     

基于改进的完备容差关系的扩充粗糙集模型
引用本文:马希骜,王国胤,张清华,杨青山.基于改进的完备容差关系的扩充粗糙集模型[J].计算机应用,2010,30(7):1873-1877.
作者姓名:马希骜  王国胤  张清华  杨青山
作者单位:1. 重庆邮电大学2.
基金项目:国家自然科学基金资助项目,重庆市杰出青年科学基金资助项目,重庆市自然科学基金重点资助项目 
摘    要:经典粗糙集理论不能直接处理不完备信息系统,而容差关系、相似关系限制容差关系和完备容差关系等扩充粗糙集模型在一定程度上解决了这个问题。分析了这些模型存在的局限性,并在完备容差关系的基础上,提出了基于改进的完备容差关系的扩充粗糙集模型,该模型既保留了已有模型的优点,又在一定程度上克服了它们的局限性。实例分析表明该模型对不完备信息系统的处理更符合实际情况。

关 键 词:粗糙集  不完备信息系统  容差关系  相似关系  限制容差关系  完备容差关系  
收稿时间:2010-01-10
修稿时间:2010-02-25

Extended rough set model based on improved complete tolerance relation
MA Xi-ao,WANG Guo-yin,ZHANG Qing-hua,YANG Qing-shan.Extended rough set model based on improved complete tolerance relation[J].journal of Computer Applications,2010,30(7):1873-1877.
Authors:MA Xi-ao  WANG Guo-yin  ZHANG Qing-hua  YANG Qing-shan
Abstract:The classical rough set theory is not useful for analyzing incomplete information system, and this problem is solved by tolerance relation, similarity relation, limited tolerance relation and completed tolerance relation to some extent. Limitations of these models were analyzed, and on the basis of the completed tolerance relation an extended rough set model based on improved complete tolerance relation was developed. The extended model not only retains the merits of the existing models, but also overcomes the limitations of the existing models to some extent. The result of case studies shows the effectiveness of the presented model.
Keywords:Rough set  Incomplete information system  Tolerance relation  Similarity relation  Limited tolerance relation  Completed tolerance relation  
本文献已被 万方数据 等数据库收录!
点击此处可从《计算机应用》浏览原始摘要信息
点击此处可从《计算机应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号