.png){kind=icon}
返回
Rough set approaches in knowledge structures
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ijar.2021.08.003.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Rough set theory provides a very useful research method for knowledge structures. This paper outlines a possible relationship between knowledge structures and rough sets. We characterize knowledge spaces with rough upper approximations. In particular, we discuss the knowledge structures induced by a skill map via disjunctive and conjunctive models by means of rough set approaches and identify the conditions under which the knowledge structures induced by a skill multimap are closed under union or intersection. The covering reduction technique is used to identify the minimal skill maps. Finally, we define the knowledge structures induced via the disjunctive model by skill multimaps and study an open problem (Falmagne and Doignon (2011) [3, Chap. 6, Question 7]: Under which condition on a skill multimap is the delineated structure closed under intersection? (C) 2021 Elsevier Inc. All rights reserved.
Keyword:
Knowledge structure
Quasi-ordinal space
Rough set
Skill map
Surmise relation
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:
3
论文数:
3.0K
被引数:
5.1K
机构
暂无机构信息
引用论文
INTRODUCTION TO KNOWLEDGE SPACES - HOW TO BUILD, TEST, AND SEARCH THEM.png)
PSYCHOLOGICAL REVIEW
PSYCHOLOGICAL REVIEWIF5.8
PREAI
分享收藏
分享收藏
查看更多内容