摘要
本文研究了基于特征矩阵计算动态集合近似的增量方法.首先提出了在对象集合变化的动态覆盖近似空间中计算动态集合第二型和第六型近似的增量方法.其次,提出了基于特征矩阵计算动态集合第二型和第六型近似的增量算法,并与非增量算法做了比较.最后通过举例说明了如何利用提出的增量算法计算动态集合的第二型和第六型近似.
The current research was conducted on the incremental approaches to update the approximations of the dynamic sets based on characteristic matrices. First, the second and sixth lower and upper approximations of the dynamic sets were constructed in the dynamic covering approximation spaces with the varying object sets. And then, the incremental algorithms were presented to compute the second and sixth lower and upper approximations of the dynamic sets. Finally, some examples were used to illustrate the effectiveness of the proposed incremental algorithms to approximate the dynamic sets in the dynamic covering approximation spaces with varying object sets.
出处
《海南热带海洋学院学报》
2016年第5期60-67,共8页
Journal of Hainan Tropical Ocean University
基金
国家自然科学基金(Nos.11526039
61603063)
中国博士后科学基金面上基金(2015M580353)
中国博士后科学基金特别资助(2016T90383)
湖南省教育厅科研项目(14C0049)
关键词
布尔矩阵
特征矩阵
动态覆盖近似空间
粗糙集
Boolean matrix
characteristic matrix
dynamic covering approximation space
Rough set