%0 Journal Article
%T Uncertain Spatio-temporal Data Model Based on Grey Sets<br>基于灰集的不确定性时空数据模型
%A BAO Lei
%A QIN Xiao-lin
%A <br>包磊
%A 秦小麟
%J 遥感学报
%D 2005
%I 
%X The majority of spatio-temporal DBMS assume objects to be precise,but this simplification can't work in many military,navigation and environmental applications.Many forms of spatio-temporal data can't be measured exactly,and in these kinds of objects exists spatio-temporal indeterminacy.Spatio-temporal uncertainty management is a new topic for researchers on spatio-temporal databases.The current method based on Fuzzy Sets is not well applicable because it imposes strict restrictions on the objects' uncertainty.In this paper,a new abstract model of uncertain spatio-temporal objects is presented.This model is based on the Grey Sets and is more applicable for the presentation and manipulation of partial unknown spatio-temporal objects.This paper first gives the formal definition of uncertain abstract data types based on the Grey Sets,such as the definition of base types,spatial types and spatio-temporal types.Then we take a glimpse at the aspect of uncertain spatio-temporal analysis.Finally,examples of uncertain query is presented.
%K spatio-temporal database
%K grey sets
%K uncertainty
%K abstract data type<br>时空数据库
%K 灰集理论
%K 不确定性
%K 抽象数据类型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=137AEF4B327EB997&yid=2DD7160C83D0ACED&vid=9CF7A0430CBB2DFD&iid=B31275AF3241DB2D&sid=6C62BFE34266FA92&eid=4A8412AEEC89236B&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=17