%0 Journal Article
%T New SDG fault diagnosis method based on fuzzy reasoning<br>基于模糊推理的SDG故障诊断新方法
%A LIU Yue
%A ZHANG Bei-ke
%A WU Chong-guang
%A <br>刘玥
%A 张贝克
%A 吴重光
%J 计算机应用
%D 2005
%I 
%X The fault diagnosis method based on qualitative SDG deep knowledge model has better completeness, but lower resolution. Because it ignores the fact that the effect is different between different nodes in a SDG graph. To solve this problem, a new method which added the qualitative information of the effect between nodes into the qualitative SDG reasoning by fuzzy matrix was proposed, according to which the priority could be given to the multi-potential fault origin and the resolution could be improved. Different from other fuzzy SDG fault diagnosis methods, this method used the fuzzy matrix instead of membership function, because fuzzy matrix can be got easier than membership function and it can make the computer programming easier.
%K SDG
%K fuzzy reasoning
%K fault diagnosis<br>SDG
%K 模糊推理
%K 故障诊断
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=72BBCEB63A80B330&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=5FCE9AC7218D4C89&eid=8ACDF1140B67B9CB&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=12