Rough -set -driven approach for attribute reduction in fuzzy formal concept analysis

被引：31
|
作者：
Jose Benitez-Caballero, M. [1 ]
Medina, Jesus [1 ]
Ramirez-Poussa, Eloisa [1 ]
Slezak, Dominik [2 ]
机构：
[1] Univ Cadiz, Dept Math, Cadiz, Spain
[2] Univ Warsaw, Inst Informat, Warsaw, Poland
来源：
FUZZY SETS AND SYSTEMS | 2020年 / 391卷 / 117-138期
关键词：
Fuzzy sets; Attribute reduction; Reduct; Formal concept analysis; Rough set theory; CONCEPT LATTICES; CONCEPT SIMILARITY; DEPENDENCIES;
D O I：
10.1016/j.fss.2019.11.009
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The reduction of the set of attributes is an important preliminary challenge in order to obtain information from knowledge systems. Two remarkable formal tools for extracting such information are Rough Set Theory (RST) and Formal Concept Analysis (FCA), as well as their fuzzy generalizations. This work introduces a new method to reduce attributes in Fuzzy FCA considering the reduction philosophy given in RST and studies its main properties. This method allows us to carry out a deeper study of the relation between these two theories. Moreover, the proposed methodology has been compared with other existing reduction mechanisms. (c) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码：117 / 138
页数：22
相关论文
共 50 条
  • [41] Rough set approximations in formal concept analysis and knowledge spaces
    Xu, Feifei
    Yao, Yiyu
    Miao, Duoqian
    FOUNDATIONS OF INTELLIGENT SYSTEMS, PROCEEDINGS, 2008, 4994 : 319 - +
  • [42] Comparative study on formal concept analysis and rough set theory
    Institute of Information and System Sciences, Faculty of Science, Xi'an Jiaotong University, Xi'an 710049, China
    不详
    Jisuanji Gongcheng, 2006, 8 (42-44):
  • [43] Generalized closures of rough set theory and formal concept analysis
    Vlach, Milan
    MATHEMATICAL METHODS IN ECONOMICS 2013, PTS I AND II, 2013, : 992 - 997
  • [44] The Relation Between Formal Concept Analysis And Rough Set Theory
    Chen, Xinying
    Li, Guanyu
    2014 6TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS, 2014, : 662 - 665
  • [45] Enhancing Rough Set and Formal Context based Ontology Mapping Method with Attribute Reduction
    Xu, Jiuyun
    Gu, Pingli
    Li, Changbao
    Duan, Youxiang
    2008 3RD INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND APPLICATIONS, VOLS 1 AND 2, 2008, : 385 - 388
  • [46] Mutagenicity analysis based on rough set theory and formal concept analysis
    1600, Springer Verlag (235):
  • [47] Fuzzy-Rough Set Based Attribute Reduction with a Simple Fuzzification Method
    Wang, Xueen
    Han, Deqiang
    Han, Chongzhao
    PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2012, : 3793 - 3797
  • [48] Constraint-Based Attribute Reduction in Rough Set Analysis
    Fan, Tuan-Fang
    Liau, Churn-Jung
    Liu, Duen-Ren
    IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010), 2010,
  • [49] Attribute reduction with fuzzy rough set based on multiobjective neighborhood difference algorithm
    Li B.-Y.
    Xiao J.-M.
    Wang X.-H.
    Kongzhi yu Juece/Control and Decision, 2019, 34 (05): : 947 - 955
  • [50] Fuzzy rough set-based attribute reduction using distance measures
    Wang, Changzhong
    Huang, Yang
    Shao, Mingwen
    Fan, Xiaodong
    KNOWLEDGE-BASED SYSTEMS, 2019, 164 : 205 - 212
12345