On the connection of hypergraph theory with formal concept analysis and rough set theory

被引:36
作者
Cattaneo, Gianpiero [1 ]
Chiaselotti, Giampiero [2 ]
Ciucci, Davide [1 ]
Gentile, Tommaso [2 ]
机构
[1] Univ Milano Bicocca, Dept Informat Syst & Commun, I-20126 Milan, Italy
[2] Univ Calabria, Dept Math & Informat, I-87036 Arcavacata Di Rende, CS, Italy
关键词
Rough sets; Formal concept analysis; Hypergraphs; CO-ENTROPY; DEPENDENCIES; PARTITIONS; COVERINGS;
D O I
10.1016/j.ins.2015.09.054
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We present a unique framework for connecting different topics: hypergraphs from one side and Formal Concept Analysis and Rough Set Theory from the other. This is done through the formal equivalence among Boolean information tables, formal contexts and hypergraphs. Links with generic (i.e., not Boolean) information tables are established, through so-called nominal scaling. The particular case of k-uniform complete hypergraphs will then be studied. In this framework, we are able to solve typical problems of Rough Set Theory and Formal Concept Analysis using combinatorial techniques. More in detail, we will give a formula to compute the degree of dependency and the partial implication between two sets of attributes, compute the set of reducts and define the structure of the partitions generated by all the definable indiscernibility relations. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:342 / 357
页数:16
相关论文
共 50 条
  • [41] Topological structures in rough set theory: A survey
    Singh, Pankaj Kumar
    Tiwari, Surabhi
    HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS, 2020, 49 (04): : 1270 - 1294
  • [42] The algebraic structures of generalized rough set theory
    Liu, Guilong
    Zhu, William
    INFORMATION SCIENCES, 2008, 178 (21) : 4105 - 4113
  • [43] Granulation in Rough Set Theory: A novel perspective
    Luis Velazquez-Rodriguez, Jose
    Villuendas-Rey, Yenny
    Yanez-Marquez, Cornelio
    Lopez-Yanez, Itzama
    Camacho-Nieto, Oscar
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2020, 124 : 27 - 39
  • [44] Liquefaction prediction using rough set theory
    Arabani, M.
    Pirouz, M.
    SCIENTIA IRANICA, 2019, 26 (02) : 779 - 788
  • [45] Semantic Search Exploiting Formal Concept Analysis, Rough Sets, and Wikipedia
    Jiang, Yuncheng
    Yang, Mingxuan
    INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2018, 14 (03) : 99 - 119
  • [46] In the context of multiple intelligences theory, intelligent data analysis of learning styles was based on rough set theory
    Narli, Serkan
    Ozgen, Kemal
    Alkan, Huseyin
    LEARNING AND INDIVIDUAL DIFFERENCES, 2011, 21 (05) : 613 - 618
  • [47] CONCEPT AND ATTRIBUTE REDUCTION BASED ON RECTANGLE THEORY OF FORMAL CONCEPT
    Zhou, Jianqin
    Yang, Sichun
    Wang, Xifeng
    MATHEMATICAL FOUNDATIONS OF COMPUTING, 2023, 6 (02): : 178 - 189
  • [48] Set approximations in fuzzy formal concept analysis
    Shao, Ming-Wen
    Liu, Min
    Zhang, Wen-Xiu
    FUZZY SETS AND SYSTEMS, 2007, 158 (23) : 2627 - 2640
  • [49] The information entropy, rough entropy and knowledge granulation in rough set theory
    Liang, JY
    Shi, ZZ
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2004, 12 (01) : 37 - 46
  • [50] Topology in the Alternative Set Theory and Rough Sets via Fuzzy Type Theory
    Novak, Vilem
    MATHEMATICS, 2020, 8 (03)