Closed-set lattice and modular matroid induced by covering-based rough sets

被引:0
|
作者
Lirun Su
William Zhu
机构
[1] Minnan Normal University,Lab of Granular Computing
关键词
Closed-set lattice; Modular matroid; Covering; Rough sets; Granular computing;
D O I
暂无
中图分类号
学科分类号
摘要
Covering is a common form of data representation, and covering-based rough sets, a technique of granular computing, provide an effective tool to deal with this type of data. However, many important problems of covering-based rough sets, such as covering reduction, are NP-hard so that most algorithms to solve them are greedy ones. Matroid theory, based on linear algebra and graph theory, provides well-established platforms for greedy algorithms. Lattice has been widely used in diverse fields, especially algorithm design, which plays an important role in covering reduction. Therefore, it is necessary to integrate covering-based rough sets with matroid and lattice. In this paper, we construct three types of matroids through covering-based rough sets and investigate their modularity. Moreover, we investigate some characteristics of these types of closed-set lattices induced by these three types of matroids and the relationships among these closed-set lattices. First, based on covering-based rough sets, three families of sets are constructed and proved to satisfy independent set axiom of matroids. So three types of matroids are induced by covering-based rough sets in this way. Second, some characteristics of these matroids, such as rank function, closure operator and closed set, are presented. Moreover, we investigate the characteristics of these closed-set lattices induced by these three types of matroids, such as modular pair, modular element. Finally, the relationships among these closed-set lattices induced by these three types of matroids are investigated. Especially, we prove that these three types of matroids induced by covering-based rough sets are all modular matroids.
引用
收藏
页码:191 / 201
页数:10
相关论文
共 50 条
  • [21] A Covering-Based Pessimistic Multigranulation Rough Set
    Lin, Guoping
    Li, Jinjin
    [J]. BIO-INSPIRED COMPUTING AND APPLICATIONS, 2012, 6840 : 673 - 680
  • [22] Covering-based rough set classification system
    Kumar, S. Senthil
    Inbarani, H. Hannah
    Azar, Ahmad Taher
    Polat, Kemal
    [J]. NEURAL COMPUTING & APPLICATIONS, 2017, 28 (10): : 2879 - 2888
  • [23] Covering-based rough sets based on the refinement of covering-element
    Tang, Jianguo
    She, Kun
    Zhu, William
    [J]. World Academy of Science, Engineering and Technology, 2011, 56 : 1534 - 1544
  • [24] Covering-Based Rough Sets on Covering-Circuit Matroids
    Yang, Bin
    Zhu, William
    [J]. 2014 11TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2014, : 49 - 54
  • [25] Relationships between covering-based rough sets and relation-based rough sets
    Zhang, Yan-Lan
    Luo, Mao-Kang
    [J]. INFORMATION SCIENCES, 2013, 225 : 55 - 71
  • [26] 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
  • [27] Properties of two types of covering-based rough sets
    Fang, Lian-Hua
    Li, Ke-Dian
    Li, Jin-Jin
    [J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2013, 4 (06) : 685 - 691
  • [28] 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
  • [29] Properties of the third type of covering-based rough sets
    Zhu, William
    Wang, Fei-Yue
    [J]. PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 3746 - 3751
  • [30] On some types of fuzzy covering-based rough sets
    Yang, Bin
    Hu, Bao Qing
    [J]. FUZZY SETS AND SYSTEMS, 2017, 312 : 36 - 65