摘要
文章对基于Rough集的信息系统中属性重要性、属性值间的相似性等属性信息及对象之间的相似性进行了度量研究,分别提出了其相应的度量方法,这些方法有助于系统研究信息系统中各种信息的特点和性质,便于数据的聚类分析和不确定性推理等。
In this paper,we systematically discuss attribute importance,the similarity between attribute values and the simi-larity between objects in an information system based on rough sets,and propose their corresponding measuring methods re-spectively.These measuring methods will be very useful to study characteristics and properties of different information.They can be used to dispose the questions of cluster analysis and uncertainty reasoning in an information system.
出处
《微电子学与计算机》
CSCD
北大核心
2004年第2期40-43,47,共5页
Microelectronics & Computer
基金
国家自然科学基金资助项目(69803014)
河南省自然科学基金项目(0311012800)
