%0 Journal Article
%T 数据分离与属性状态特征<br>Data separation and its attribute state characteristics
%A 郭华龙
%A 张凌&lt
%A br&gt
%A GUO Hua-long
%A ZHANG Ling
%J 山东大学学报（理学版）
%D 2017
%R 10.6040/j.issn.1671-9352.0.2017.436
%X 摘要： 给出数据分离与它的属性状态特征生成的基本理论。利用逆P-集合的结构与动态特征,给出数据外分离,数据内分离与数据外-内分离概念,给出数据分离特征,给出数据分离生成的属性状态特征。给出数据补充定理,数据删除定理与数据补充-删除定理。给出数据外分离的属性基数定理,数据内分离的属性基数定理与数据外-内分离的属性基数定理。论文给出的理论结果是数据分离生成的特征。<br>Abstract: This article gives the basic theory of data separation as well as the generation theory of attribute state characteristics for data separation. By employing the structures and dynamic characteristics of inverse P-sets, the concepts of data outer separation, data internal separation and data outer-internal separation are proposed. Moreover, the data separation characteristics and the attribute state characteristics are generated by data separation are analyzed. Then the data supplement theorem, the data deleting theorem and the data supplement-deleting theorem are given. The attribute cardinal theorems of data outer separation, data internal separation and data outer-internal separation are provided. The theoretical results presented in this article show the generation characteristics of data separation
%K 数据分离
%K 属性基数定理
%K 数据分离定理
%K 逆P-集合
%K 属性状态
%K &lt
%K br&gt
%K data separation
%K data separation theorem
%K attribute cardinal theorem
%K inverse P-sets
%K attribute state
%U http://lxbwk.njournal.sdu.edu.cn/CN/10.6040/j.issn.1671-9352.0.2017.436