Rough Set Model Based on Uncertain Measure

摘要：

　　Probabilistic rough set model based on probability measure is a new rough set model to deal with uncertain information systems.Uncertain measure is a generalization of probability measure.Based on the fundamental knowledge of rough set model and uncertain measure, a rough set model based on uncertain measure is established.Furthermore, by comparative study of the lower approximation and upper approximation, it is true that the rough set model based on uncertain measure is an extension of the probabilistic rough set model.

关键词： rough set model lower approximation upper approximation uncertain measure

作者: Dazeng Tian Lin Wang Jing Wu Minghu Ha

作者单位: College of Mathematics and Computer Sciences, Hebei University, Baoding 071002, China

会议类型: 国内会议

会议名称: 第四届中国智能计算大会

会议地点: 芜湖

会议语种:英文

页码: 18-22

在线出版日期: 2010-05-21（万方平台首次上网日期，不代表论文的发表时间）