A new attribute reduction method and its application in covering information systems

被引:3
|
作者
Li, Fachao [1 ,2 ]
Yang, Jinning [2 ]
Jin, Chenxia [1 ]
Kataev, Mikhail Yu [3 ]
机构
[1] Hebei Univ Sci & Technol, Sch Econ & Management, Shijiazhuang 050018, Peoples R China
[2] Hebei Univ Sci & Technol, Sch Sci, Shijiazhuang, Peoples R China
[3] Tomsk State Univ Control Syst & Radioelect, Dept Control Syst, Tomsk, Russia
基金
中国国家自然科学基金;
关键词
Covering information system; network topology; attribute reduction; information redundancy; ROUGH SETS; FRAMEWORK;
D O I
10.1080/17517575.2016.1211744
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper focuses on removing information redundancy from a covering information system. First, we review the common covering reduction methods and discussed their relationship to each other. Second, we consider the explicit and implicit values of compound attributes in order to lay the basis of our work. Then we obtain a network topology of covering. Third, we prove that network topology is a set of bases in a covering information system through an example, in which we obtain all the irreducible elements. Finally, we discuss the network topology-based attribute reduction method, as well as compare it with other methods. Our discussions enrich the existing attribute reduction theories and methods.
引用
收藏
页码:1043 / 1058
页数:16
相关论文
共 50 条
  • [31] Attribute Reduction with Homomorphism in Incomplete Information Systems
    Liu, Xiao-Juan
    Mi, Ju-Sheng
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC 2012), 2012, : 310 - 313
  • [32] A quick algorithm for reduction of attribute in information systems
    Lv, Yue-Jin
    Li, Jin-Hai
    [J]. PROCEEDINGS OF THE FIRST INTERNATIONAL SYMPOSIUM ON DATA, PRIVACY, AND E-COMMERCE, 2007, : 98 - +
  • [33] Attribute Reduction Method of Covering Rough Set Based on Dependence Degree
    Li Fachao
    Ren Yexing
    Jin Chenxia
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2021, 14 (01) : 1419 - 1425
  • [34] Innovations to Attribute Reduction of Covering Decision System Based on Conditional Information Entropy
    Xia, Xiuyun
    Tian, Hao
    Wang, Ye
    [J]. Applied Mathematics and Nonlinear Sciences, 2023, 8 (01) : 2103 - 2116
  • [35] Innovations to Attribute Reduction of Covering Decision System Based on Conditional Information Entropy
    Xia, Xiuyun
    Tian, Hao
    Wang, Ye
    [J]. APPLIED MATHEMATICS AND NONLINEAR SCIENCES, 2022,
  • [36] Multigranulations Rough Set Method of Attribute Reduction in Information Systems Based on Evidence Theory
    Yan, Minlun
    [J]. JOURNAL OF APPLIED MATHEMATICS, 2014,
  • [37] Attribute Reduction in Random Information Systems with Fuzzy Decisions
    Wu, Wei-Zhi
    Xu, You-Hong
    [J]. ROUGH SETS, FUZZY SETS, DATA MINING AND GRANULAR COMPUTING, RSFDGRC 2011, 2011, 6743 : 223 - 230
  • [38] A heuristic algorithm for attribute reduction in incomplete information systems
    Li, F
    Liu, QH
    Yang, GW
    [J]. Progress in Intelligence Computation & Applications, 2005, : 574 - 580
  • [39] Approximate Accuracy Approaches to Attribute Reduction for Information Systems
    Liu, Deshan
    Wang, Dapeng
    Yan, Deqin
    Sang, Yu
    [J]. ABSTRACT AND APPLIED ANALYSIS, 2014,
  • [40] A Novel Method of Attribute Reduction for Incomplete Information System
    Tan, Wendong
    E, Xu
    Shi, Feng
    Ren, Yongchang
    Fan, Lijin
    [J]. 2010 INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING AND COMMUNICATION AND 2010 ASIA-PACIFIC CONFERENCE ON INFORMATION TECHNOLOGY AND OCEAN ENGINEERING: CICC-ITOE 2010, PROCEEDINGS, 2010, : 352 - 354