摘要
基于相似关系粗糙集的提出,扩大了粗集理论的应用范围。但对于相似类中的元素无法区分正相似或负相似。文中引入支配关系对相似类进一步分类:正相似类,负相似类,“纯”相似类;进而提出了相似关系粗糙集的分解。最后,通过信息检索的例子证实了其应用价值。
The presentation of rough set based on similarity relation expands the application scope of rough set theory,but one can not distinguish positive similarity or negative similarity in the elements of similarity class.The paper uses the dominance relation to the partition of similarity class:positive similarity class,negative similarity class,pure similarity class,and further presents the decomposing of rough set based on similarity relation.At last,one example of information retrivaling demonstrates the application value of the model.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第2期85-86,179,共3页
Computer Engineering and Applications
关键词
粗集
相似关系
支配关系
信息检索
Rough set,Similarity Relation,Dominance Relation,Information retrivaling
