%0 Journal Article
%T Attribute reduction algorithms of fuzzy rules based on continuous domain condition attributes<br>基于连续型条件属性的模糊规则约简算法*
%A CUI Meng-tian
%A ZHU Hao-dong
%A ZHONG Yong
%A <br>崔梦天
%A 朱灏东
%A 钟勇
%J 计算机应用研究
%D 2010
%I 
%X To solve the problems of low adaptability for continuous domain reduction and the disadvantage of failing to obtain eventual relationship among the fuzzy sets,this paper proposed a new method of attribute reduction algorithms of decision table based on combining fuzzy set with rough set. First,transformed continuous attribute value into fuzzy value with triangular membership function,then provided algorithms of hard C-means(HCM) clustering to obtain relationship among the fuzzy sets.In the end,simulation results show the effectiveness of the proposed method through an illustrative example.
%K condition attributes
%K continuous
%K membership function
%K fuzzy rules<br>条件属性
%K 连续型
%K 隶属度函数
%K 模糊规则
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=7BB3FEB21E0583176B00923416C84073&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=DF92D298D3FF1E6E&sid=E2AE6FE010839FF3&eid=D90DDDDB24DD4AFF&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10