%0 Journal Article
%T Fuzzy Set Model Based on Similarity Thesaurus<br>基于相似性叙词表的模糊集合模型
%A ZHANG Xu
%A SHI Jin
%A XIE Li
%A <br>章旭
%A 石进
%A 谢立
%J 计算机科学
%D 2008
%I 
%X Traditional fuzzy set model is based on term-term correlation matrix for fuzzy retrieval,which only considers term co-occurrence within documents.The paper presents a fuzzy set model based on similarity thesaurus which considers the similarity between term and query.And we add the query expansion into the model.To some extent,the retrieval performance is improved.
%K Fuzzy set model
%K Similarity thesaurus
%K Query expansion<br>模糊集合模型
%K 相似性叙词表
%K 查询扩展
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=1DB2813A673AB46E9750E22CBAE45900&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=9CF7A0430CBB2DFD&sid=BC084ACE66B62CC8&eid=974CBB04624305A1&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=6