Constructing three-way concept lattices based on apposition and subposition of formal contexts

被引:67
|
作者
Qian, Ting [1 ,2 ]
Wei, Ling [1 ]
Qi, Jianjun [3 ]
机构
[1] Northwest Univ, Sch Math, Xian 710069, Peoples R China
[2] Xian Shiyou Univ, Coll Sci, Xian 710065, Peoples R China
[3] Xidian Univ, Sch Comp Sci & Technol, Xian 710071, Peoples R China
基金
中国国家自然科学基金;
关键词
Three-way concept lattice; Three-way decision; Apposition; Subposition; ROUGH SETS; APPROXIMATIONS; ACQUISITION; REDUCTION;
D O I
10.1016/j.knosys.2016.10.033
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Three-way concept analysis provides a new model to make three-way decisions. Its basic structure can be shown by the three-way concept lattices. Thus, how to construct three-way concept lattices is an important issue in the three-way concept analysis. This paper proposes approaches to create the three-way concept lattices of a given formal context. First, we can transform the given formal context and its complementary context into new formal contexts which are isomorphic to the given formal context and its complementary context respectively. And then, Type I-combinatorial context and Type II combinatorial context are defined, which are apposition and subposition of these new formal contexts, respectively. Second, we prove that the concept lattice of Type I-combinatorial context is isomorphic to object-induced three-way concept lattice and the concept lattice of Type II-combinatorial context is isomorphic to attribute-induced three-way concept lattice of the given formal context. And then, the approaches of creating the three-way concept lattices are proposed based on the concept lattices of Type I-combinatorial context and Type I-combinatorial context. Finally, we give the corresponding algorithms of constructing three-way concept lattices based on the above approaches and conduct several experiments to illustrate the efficient of proposed algorithms. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:39 / 48
页数:10
相关论文
共 50 条
  • [21] Interval sets and three-way concept analysis in incomplete contexts
    Yao, Yiyu
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2017, 8 (01) : 3 - 20
  • [22] Operations of Formal Contexts and Concept Lattices
    Li, Tong-Jun
    Wu, Wei-Zhi
    2008 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2, 2008, : 387 - 392
  • [23] A three-way confirmatory approach to formal concept analysis in classification
    Hu, Mengjun
    Wang, Zhen
    APPLIED SOFT COMPUTING, 2024, 155
  • [24] Multiview granular data analytics based on three-way concept analysis
    Wang, Zhen
    Qi, Jianjun
    Shi, Chengjun
    Ren, Ruisi
    Wei, Ling
    APPLIED INTELLIGENCE, 2023, 53 (11) : 14645 - 14667
  • [25] A theoretical study on the object (property) oriented concept lattices based on three-way decisions
    Qian, Ting
    Wei, Ling
    Qi, Jianjun
    SOFT COMPUTING, 2019, 23 (19) : 9477 - 9489
  • [26] Knowledge discovery and updating under the evolution of network formal contexts based on three-way decision
    Yan, Mengyu
    Li, Jinhai
    INFORMATION SCIENCES, 2022, 601 : 18 - 38
  • [27] Mining positive and negative rules via one-sided fuzzy three-way concept lattices
    Hu, Zhiyong
    Shao, Mingwen
    Mi, Jusheng
    Wu, Weizhi
    FUZZY SETS AND SYSTEMS, 2024, 479
  • [28] Role based access control design using three-way formal concept analysis
    Subramanian, Chandra Mouliswaran
    Cherukuri, Aswani Kumar
    Chelliah, Chandrasekar
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 9 (11) : 1807 - 1837
  • [29] Role based access control design using three-way formal concept analysis
    Chandra Mouliswaran Subramanian
    Aswani Kumar Cherukuri
    Chandrasekar Chelliah
    International Journal of Machine Learning and Cybernetics, 2018, 9 : 1807 - 1837
  • [30] Three-way granular computing, rough sets, and formal concept analysis
    Yao, Yiyu
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2020, 116 : 106 - 125