%0 Journal Article
%T An Expert Knowledge-Based Inference System Dealing with Uncertainties<br>一个基于专家知识的不确定性分析推理系统
%A Song Fengming
%A <br>宋逢明
%J 自动化学报
%D 1992
%I 
%X This paper presents an inference system dealing with uncertainties, which is included in EXDASS. Based on expert knowledge estimating and predicting uncertainties/risks, the system provides some supports to decision making through a man-computer dynamic interactive procedure. The paper illustrates the possibilistic evidence theory, which makes up the theoretical foundation of the expert knowledge representation and the inference mechanism. The design priciples and the framework of the system are expounded with an application case, especially, some self-learning features of the system are discussed.
%K Uncertainty
%K possibilistic evidence
%K self-learning<br>推理系统
%K 不确定性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=E183DD3BA26FBDFB2FCD0F5FC73567F8&yid=F53A2717BDB04D52&vid=13553B2D12F347E8&iid=E158A972A605785F&sid=8ACD9060100C26F1&eid=8CCD0401CC9AE432&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=5