%0 Journal Article
%T Statistical Evidence for Decision System Analysis<br>决策表分析的统计依据
%A WEI Ling
%A ZHANG Wen-Xiu Faculty of Science
%A Xi'an Jiaotong University
%A Xi'an
%A <br>魏玲
%A 张文修
%J 计算机科学
%D 2005
%I 
%X The nonparametric test method is introduced to the reduction of decision table, which gives the statistical evidence for decision system analysis. Firstly, we transfer the raw decision system into a series of corresponding con- tingency table between each condition attribute and decision attribute; then, test the correlation significance between them to make sure if a condition attribute is useless and should be deleted. Secondly, for those condition attributes that are correlated with decision attribute, we do correlated measure using Lambda coefficient. The set of condition at- tributes that are correlated with decision attribute is regarded to be the reduction of condition attributes, and the cor- responding Lambda coefficient shows the proportionate reduction in error. At the same time, we get the first-order rules of the raw decision table based on the series of corresponding contingency table. Our test shows that our method is feasible and efficiently.
%K Decision table
%K Contingency table
%K Correlated measure
%K Significance test
%K First-order rule<br>决策表
%K 列联表
%K 相关性度量
%K 显著性检验
%K 一级规则
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=76861C07479BF140&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=E158A972A605785F&sid=2A8D03AD8076A2E3&eid=659D3B06EBF534A7&journal_id=1002-137X&journal_name=计算机科学&referenced_num=2&reference_num=5