%0 Journal Article
%T Fuzzy Association Degree with Delayed Time in Temporal Data Model
%A LIU Weiyi
%A GUO Lingzhi
%A SONG Ning
%A <br>刘惟一
%A 郭陵芝
%A 宋宁
%J 计算机科学技术学报
%D 2001
%I 
%X This paper presents an expression of the semantic proximity. Based on the temporal data model, a method of the temporal approximation is given. Using these concepts, this paper provides an evaluated method of fuzzy and dynamic association degree with delayed time and a superposition method of association degrees. Particularly, by means of the fuzzy and dynamic association degree, the connection between the weather data of two regions can be discovered.
%K temporal data model
%K fuzzy association degree
%K delayed time
%K weather forecast<br>模糊关联
%K 时间数据模型
%K 延迟时间
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=291B45A183D20AE2F818CF3B2444F5C4&yid=14E7EF987E4155E6&vid=7801E6FC5AE9020C&iid=CA4FD0336C81A37A&sid=2B25C5E62F83A049&eid=2B25C5E62F83A049&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=2&reference_num=4