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| 基于相似关系粗糙集的分解 | |
| 引用本文： | 李钢,张雪婷. 基于相似关系粗糙集的分解[J]. 计算机工程与应用, 2004, 40(2): 85-86,179 |
| 作者姓名： | 李钢 张雪婷 |
| 作者单位： | 山东大学数学与系统科学学院,济南,250100;山东大学控制科学与工程学院,济南,250061 |
| 摘 要： | 基于相似关系粗糙集的提出,扩大了粗集理论的应用范围。但对于相似类中的元素无法区分正相似或负相似。文中引入支配关系对相似类进一步分类:正相似类,负相似类,“纯”相似类;进而提出了相似关系粗糙集的分解。最后,通过信息检索的例子证实了其应用价值。 |
| 关 键 词： | 粗集 相似关系 支配关系 信息检索 |
| 文章编号： | 1002-8331-(2004)02-0085-02 |
Decomposition of Rough Set Based on Similarity Relation |
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| Li Gang Zhang Xueting. Decomposition of Rough Set Based on Similarity Relation[J]. Computer Engineering and Applications, 2004, 40(2): 85-86,179 | |
| Authors: | Li Gang Zhang Xueting |
| Affiliation: | Li Gang 1 Zhang Xueting 21 |
| Abstract: | The presentation of rough set based on similarity relation expands the application scope of rough set theory,but one can not distinguish positive similarity or negative similarity in the elements of similarity class.The paper uses the dominance relation to the partition of similarity class:positive similarity class,negative similarity class,pure similarity class,and further presents the decomposing of rough set based on similarity relation.At last,one example of information retrivaling demonstrates the application value of the model. |
| Keywords: | Rough set Similarity Relation Dominance Relation Information retrivaling |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |