%0 Journal Article
%T Neighborhood systems based rough sets in interval-valuedinformation system<br>区间值信息系统中基于邻域系统的粗糙集模型
%A WANG Tian-qing
%A ZHAO Liang-hui
%A XIE Jun
%A <br>王天擎
%A 赵良辉
%A 谢　军
%J 计算机应用研究
%D 2012
%I 
%X Pawlak's rough set theory offers a formal theoretical framework to deal with categorical data, but this model is not applicable to interval data which widely exist in real world applications. By using grey lattice operation and Hausdorff distance, this paper provided a new neighborhood relationship in an interval-valued information system. Furthermore, it proposed three forms of rough set models based on neighborhood relationship, maximal consistent blocks and neighborhood system, which was to improve the accuracy of approximations. Moreover, it employed three numerical examples to substantiate the conceptual arguments.
%K rough set
%K interval data
%K neighborhood system
%K covering
%K maximal consistent block
%K Hausdorff distance<br>粗糙集
%K 区间值
%K 邻域系统
%K 覆盖
%K 最大相容类
%K Hausdorff
%K 距离
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EF250AD332A335D7436C25BFAB5F2E3C&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=CE8D80D11ACEB168&eid=E1ED97EF190E9424&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15