数据分离与属性状态特征

发布时间：2019-04-20 19:31

【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。
[Abstract]:The basic theory of data separation and its attribute state feature generation is given. By using the structure and dynamic characteristics of inverse P-set, the concepts of data separation, data internal separation and data external-internal separation are given. The data separation features are given, and the attribute state features generated by data separation are given. The data supplement theorem, data deletion theorem and data supplement-deletion theorem are given. The attribute cardinality theorem of data separation, the attribute cardinality theorem of data internal separation and the attribute cardinality theorem of data outer-inner separation are given. The theoretical results given in this paper are the characteristics of data separation and generation.
【作者单位】： 龙岩学院信息工程学院;
【基金】：福建省重点学科资助项目 福建省中青年教师教育科研项目(JA15495,JA15503) 龙岩学院协同创新资助项目;龙岩学院重点学科资助项目
【分类号】：O144
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本文编号：2461879