%0 Journal Article
%T Reasearch on Similarity Interpolative Reasoning for the Sparse Fuzzy Rule<br>稀疏规则条件下的相似插值推理研究
%A WANG Tian-Jiang LU Zheng-Ding LI Fan
%A <br>王天江
%A 卢正鼎
%A 李凡
%J 计算机科学
%D 2004
%I 
%X Fuzzy reasoning is really equal to a interpolation.But when rule base is sparse, we can not get any reasoning result by traditional CRI method for an observation is in the gap between two neighboring antecedents. It is also difficult to keep convexity and normality using KH linear interpolative reasoning method. In order to get better result when rule base is sparse,we propose a similarity interpolative reasoning method which can keep the convexity and normality of the reasoning result better. It devotes a useful tool for fuzzy reasoning in intelligent systems.
%K Fuzzy set
%K Similarity interpolation
%K Sparse rule base
%K Fuzzy reasoning<br>插值器
%K 稀疏规则
%K 模糊推理
%K 相似插值推理
%K 智能系统
%K 模糊集
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D24D2231D3122DE0&yid=D0E58B75BFD8E51C&vid=4AD960B5AD2D111A&iid=94C357A881DFC066&sid=3986B25773CB6C30&eid=2922B27A3177030F&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=5