%0 Journal Article
%T Multi-model modeling method based on satisfactory clustering<br>基于满意聚类的多模型建模方法
%A LI Ning
%A LI Shao-yuan
%A XI Yu-geng
%A <br>李　柠
%A 李少远
%A 席裕庚
%J 控制理论与应用
%D 2003
%I 
%X First of all, from input-output data set, a satisfactory clustering algorithm based on GK fuzzy clustering was presented. Using this algorithm, a system could be quickly divided into multiple optimal fuzzy parts. Then the algorithm was used in multi-model modeling process. Satisfactory cluster number corresponded to the optimal number of sub-systems. For multiple clusters, multiple models could then be built, and the global system was described as their certain combination. Finally, examples are given to prove the effectiveness of the method.
%K multi-model
%K Gustafson-Kessel fuzzy clustering (GK)
%K satisfactory clustering<br>多模型
%K Gustafson-Kessel模糊聚类(GK)
%K 满意聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=FC0385A923B55A6B&yid=D43C4A19B2EE3C0A&vid=A04140E723CB732E&iid=94C357A881DFC066&sid=839A12D3ACF8C715&eid=872F6C582A30BA57&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=8&reference_num=14