Relationships between covering-based rough sets and relation-based rough sets

被引:47
|
作者
Zhang, Yan-Lan [1 ,2 ]
Luo, Mao-Kang [2 ]
机构
[1] Zhangzhou Normal Univ, Dept Comp Sci & Engn, Zhangzhou 363000, Fujian, Peoples R China
[2] Sichuan Univ, Coll Math, Chengdu 610064, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Binary relation; Covering; Covering-based approximation operator; Covering-based rough set; Relation-based rough set; AXIOMATIC CHARACTERIZATION; DECISION SYSTEMS; REDUCTION; APPROXIMATIONS; REFLEXIVE; OPERATORS;
D O I
10.1016/j.ins.2012.10.018
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Rough set theory is an important technique to deal with vagueness and granularity in information systems. In rough set theory, relation-based rough sets and covering-based rough sets are two important extensions of the classical rough sets. This paper investigates relationships between relation-based rough sets and covering-based rough sets. Firstly, we unify five types of covering-based rough sets under a framework of a type of relation-based rough sets, and establish the equivalences between four types of covering-based rough sets and the type of relation-based rough sets, respectively. Then, within the proposed framework, conditions required for two different coverings to generate the same approximation operators are investigated. We also present some sufficient and necessary conditions for different types of covering-based rough sets to be equal. Furthermore, two examples are taken to illustrate applications of the discussion about relationships between covering-based rough sets and relation-based rough sets. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:55 / 71
页数:17
相关论文
共 50 条
  • [1] Covering-based rough fuzzy sets and binary relation
    Kozae, A. M.
    El-Sheikh, S. A.
    Mareay, R.
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2014, 26 (02) : 1031 - 1038
  • [2] Covering-Based Soft Rough Sets
    Jian-Guo Tang
    [J]. Journal of Electronic Science and Technology, 2011, 9 (02) : 118 - 123
  • [3] Relationships between relation-based rough sets and belief structures
    Zhang, Yan-Lan
    Li, Chang-Qing
    [J]. International Journal of Approximate Reasoning, 2020, 127 : 83 - 98
  • [4] Covering Numbers in Covering-Based Rough Sets
    Wang, Shiping
    Min, Fan
    Zhu, William
    [J]. ROUGH SETS, FUZZY SETS, DATA MINING AND GRANULAR COMPUTING, RSFDGRC 2011, 2011, 6743 : 72 - 78
  • [5] Covering Based Rough Sets and Relation Based Rough Sets
    Restrepo, Mauricio
    Gomez, Jonatan
    [J]. ROUGH SETS AND INTELLIGENT SYSTEMS PARADIGMS, RSEISP 2014, 2014, 8537 : 143 - 152
  • [6] Covering-based fuzzy rough sets
    Kong, Qing-Zhao
    Wei, Zeng-Xin
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2015, 29 (06) : 2405 - 2411
  • [7] Relationships between relation-based rough sets and belief structures
    Zhang, Yan-Lan
    Li, Chang-Qing
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2020, 127 : 83 - 98
  • [8] A semantically sound approach to Pawlak rough sets and covering-based rough sets
    D'eer, Lynn
    Cornelis, Chris
    Yao, Yiyu
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2016, 78 : 62 - 72
  • [9] Poset Approaches to Covering-Based Rough Sets
    Wang, Shiping
    Zhu, William
    Zhu, Peiyong
    [J]. ROUGH SET AND KNOWLEDGE TECHNOLOGY (RSKT), 2010, 6401 : 25 - 29
  • [10] On twelve types of covering-based rough sets
    Safari, Samira
    Hooshmandas, Mohammad Reza
    [J]. SPRINGERPLUS, 2016, 5