A Semantical Approach to Rough Sets and Dominance-Based Rough Sets

被引：2
|
作者：
D'eer, Lynn [1 ]
Cornelis, Chris [1 ,2 ]
Yao, Yiyu [3 ]
机构：
[1] Univ Ghent, Dept Appl Math Comp Sci & Stat, Ghent, Belgium
[2] Univ Granada, Res Ctr Informat & Commun Technol CITIC UGR, Dept Comp Sci & Artificial Intelligence, Granada, Spain
[3] Univ Regina, Dept Comp Sci, Regina, SK, Canada
来源：
INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, IPMU 2016, PT II | 2016年 / 611卷
关键词：
Covering-based rough sets; Dominance-based rough sets; Semantics; Pre-order; APPROXIMATION OPERATORS;
D O I：
10.1007/978-3-319-40581-0_3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
There exist two formulations of rough sets: the conceptual and computational one. The conceptual or semantical approach of rough set theory focuses on the meaning and interpretation of concepts, while algorithms to compute those concepts are studied in the computational formulation. However, the research on the former is rather limited. In this paper, we focus on a semantically sound approach of Pawlak's rough set model and covering-based rough set models. Furthermore, we illustrate that the dominance-based rough set model can be rephrased using this semantic approach.
引用
收藏
页码：23 / 35
页数：13
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