%0 Journal Article
%T Some Research on Robustness of Evidence Theory<br>证据推理的鲁棒性研究
%A PAN Quan
%A ZHANG Shan-Ying
%A CHENG Yong-Mei
%A ZHANG Hong-Cai
%A <br>潘泉
%A 张山鹰
%A 程咏梅
%A 张洪才
%J 自动化学报
%D 2001
%I 
%X Evidence reasoning has good performance in dealing with uncertain information and has been used in many fields. It is necessary to analyze its robustness. We first give the definition of robustness based on the aim of evidential theory and the define a new concept "conflict rate". Using the sectional conflict rate, we analyze the robust area of Dempster's rule, weigh distribution and absorptive method. Finally, computer simulation indicates that, two new rules are more robust than Dempster's rule. Moreover, we give a robust area of Dempster's rule according to the general identification frame.
%K Evidence reasoning
%K conflict rate
%K robustness
%K information fusion<br>证据推理
%K 冲突率
%K 鲁棒性
%K 信息融合
%K 不确定推理
%K 人工智能
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=A564E457D29F770D&yid=14E7EF987E4155E6&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=B3645A659773B73C&eid=8C8D39B86A1EED4F&journal_id=0254-4156&journal_name=自动化学报&referenced_num=12&reference_num=8