.png){kind=icon}
返回
Rough approximations based on soft binary relations and knowledge bases
.png){kind=icon}
PRE
AI
DOI：10.1007/s00500-016-2077-2.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper studies rough approximations based on soft binary relations. Firstly, two pairs of rough approximations based on soft binary relations are investigated, and their properties are determined. Secondly, rough sets with respect to some parameter and the set of parameters are introduced, and the fact that every rough set is a special case of E-rough sets where E is the set of parameters is demonstrated. Thirdly, rough soft sets induced by soft binary relations are proposed, and their lattice structures are given. Fourthly, two kinds of topologies induced by soft reflexive relations are investigated. Finally, the fact that there exists a one-to-one correspondence between the family of all knowledge bases and the family of all soft equivalence relations is proved, and soft characterizations of knowledge structures in knowledge bases are provided, which shows that we can study knowledge bases using soft set theory.
Keyword:
Rough approximation
Rough set
Soft binary relation
Topology
Knowledge base
Knowledge structure
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.5
论文数:
1.0W
被引数:
2.1W
机构
引用论文
分享收藏分享收藏Late gadolinium enhancement on cardiac magnetic resonance combined with 123I- metaiodobenzylguanidine scintigraphy strongly predicts long-term clinical outcome in patients with dilated cardiomyopathy.png)
PLOS ONE
OAAI
PLOS ONEIF0
OAAI分享收藏
查看更多内容