文章基本信息

标题：A New DS Combination Method for Dealing with Conflict Evidence Effectively
本地全文：下载
作者：Jinfeng Pang ; Yun Lin ; Yibing Li 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：5
页码：255-264
出版社：SERSC
摘要：Evidence theory is an important method for uncertainty reasoning. Because evidence theory can well process uncertain information, imprecise information, fuzzy information, and information without prior knowledge, it is wildly used in information fusion, expert system, fuzzy recognition, and intelligent decision system. This paper depend on original evidence theory fusion algorithm, put forward a new algorithm to process conflict information efficiently, this algorithm change the basic probability assignment of evidences by changing its reliability, and then get the ultimate decision making result by doing a new combination. The simulation results show the effectiveness of this algorithm, and it can give a better decision making results in processing conflict evidences.
关键词：Information fusion; evidence theory; combination rules; cosine similarity coefficient