Research on Rough Set Theory Application in Data Fusion

摘要：

Rough set theory is a mathematic method which analyses and treats vagueness and uncertainty,and offers an effective method to data fusion system. This paper compares rough set theory with D-S (Dempster Shafer) theory and fuzzy set theory,introduces some applications on rough set for data preprocessing,rough set for design of neural network architecture,and rough set for decision of data fusion system,discusses and summarizes the key technology,current status and the trends of rough set application in data fusion .

关键词： rough set theory data fusion D-S evidential theory fuzzy set theory neural network

作者: Wang Gang Zhang Weidong

作者单位: Communication and Automation of Command Section,the PLA Xian Communication Institute,Xian Shaanxi Communication and Automation of CommandSection,the PLA Xian Communication Institute,Xian Shaanxi 7

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2653-2657

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）