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
  • [41] EFFECT ROUGH DEGREE AND ITS APPLICATION IN ATTRIBUTE REDUCTION
    Li, Fa-Chao
    Yang, Jin-Ning
    PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOL. 2, 2015, : 731 - 736
  • [42] Dependence space of topology and its application to attribute reduction
    Lirun Su
    William Zhu
    International Journal of Machine Learning and Cybernetics, 2018, 9 : 691 - 698
  • [43] Fast algorithms of attribute reduction for covering decision systems with minimal elements in discernibility matrix
    Ze Dong
    Ming Sun
    Yanyan Yang
    International Journal of Machine Learning and Cybernetics, 2016, 7 : 297 - 310
  • [44] Attribute reduction in ordered information systems based on evidence theory
    Xu, Wei-hua
    Zhang, Xiao-yan
    Zhong, Jian-min
    Zhang, Wen-xiu
    KNOWLEDGE AND INFORMATION SYSTEMS, 2010, 25 (01) : 169 - 184
  • [45] Attribute reduction in interval-valued information systems based on information entropies
    Dai, Jian-hua
    Hu, Hu
    Zheng, Guo-jie
    Hu, Qing-hua
    Han, Hui-feng
    Shi, Hong
    FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2016, 17 (09) : 919 - 928
  • [46] New uncertainty measurement for categorical data based on fuzzy information structures: An application in attribute reduction
    Zhang, Qinli
    Chen, Yiying
    Zhang, Gangqiang
    Li, Zhaowen
    Chen, Lijun
    Wen, Ching-Feng
    INFORMATION SCIENCES, 2021, 580 : 541 - 577
  • [47] Attribute reduction in interval-valued information systems based on information entropies
    Jian-hua DAI
    Hu HU
    Guo-jie ZHENG
    Qing-hua HU
    Hui-feng HAN
    Hong SHI
    Frontiers of Information Technology & Electronic Engineering, 2016, 17 (09) : 919 - 928
  • [48] Attribute reduction in interval-valued information systems based on information entropies
    Jian-hua Dai
    Hu Hu
    Guo-jie Zheng
    Qing-hua Hu
    Hui-feng Han
    Hong Shi
    Frontiers of Information Technology & Electronic Engineering, 2016, 17 : 919 - 928
  • [49] PARAMETERIZED REDUCTION OF COVERING DECISION SYSTEMS
    Ma, De-Liang
    Chen, De-Gang
    Zhang, Xiao-Xia
    PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL. 1, 2015, : 20 - 24
  • [50] Attribute reduction in ordered information systems based on evidence theory
    Wei-hua Xu
    Xiao-yan Zhang
    Jian-min Zhong
    Wen-xiu Zhang
    Knowledge and Information Systems, 2010, 25 : 169 - 184