the Influence of Rough Set Method with Incomplete Information System on the Knowledge Discovery

被引:0
|
作者
Ji, Hongyan [1 ]
Guo, Yanhong
Tian, Linggai [1 ]
机构
[1] Hebei Univ Engn, Handan 056038, Peoples R China
关键词
information system; complete information system; incomplete information system;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
One of main questions in incomplete information system is attribute value default. We can fulfill the incomplete information system or have the default value as one kind of special attribute value to treat. Through some example, we show the influence of the traditional incomplete information system rough set method to new knowledge discovery.
引用
收藏
页码:87 / 88
页数:2
相关论文
共 50 条
  • [1] A new rough set approach to knowledge discovery in incomplete information systems
    Wu, WZ
    Mi, JS
    Zhang, WX
    2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 1713 - 1718
  • [2] A New Method for Knowledge Acquisition from Incomplete Information System Based on Rough Set
    E Xu
    Wang Quantie
    Sun Fuming
    Ren Yongchang
    INFORMATION AND AUTOMATION, 2011, 86 : 139 - +
  • [3] A New Rough Set Model for Knowledge Acquisition in Incomplete Information System
    Yang, Xibei
    Yang, Jingyu
    Hu, Xiaohua
    2009 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING ( GRC 2009), 2009, : 696 - +
  • [4] Knowledge acquisition in incomplete information systems: A rough set approach
    Leung, Y
    Wu, WZ
    Zhang, WX
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 168 (01) : 164 - 180
  • [5] Neighborhood Rough Set Model in Incomplete Information System
    Li, Ping
    Lu, Xin
    Wu, Qi-Zong
    PROCEEDING OF THE 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES, 2009, : 548 - 553
  • [6] Rough Set Approach to Incomplete Multiscale Information System
    Yang, Xibei
    Qi, Yong
    Yu, Dongjun
    Yu, Hualong
    Song, Xiaoning
    Yang, Jingyu
    SCIENTIFIC WORLD JOURNAL, 2014,
  • [7] Optimistic multigranulation rough set in incomplete information system
    Yao, S., 1600, CESER Publications, Post Box No. 113, Roorkee, 247667, India (45):
  • [8] A New Knowledge Acquisition Method in Incomplete Information System Based on Rough Set and Self-adaptive Genetic Algorithm
    Ding, Zhiguo
    Zhu, Xinzhong
    Zhao, Jianmin
    Xu, Huiying
    2008 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2, 2008, : 196 - 200
  • [9] Dominance-based rough set approach and knowledge reductions in incomplete ordered information system
    Yang, Xibei
    Yang, Jingyu
    Wu, Chen
    Yu, Dongjun
    INFORMATION SCIENCES, 2008, 178 (04) : 1219 - 1234
  • [10] A rough set approach to incomplete and fuzzy decision information system
    Wei, Dakuan
    Zhao, Yaqin
    Zhou, Xianzhong
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 4219 - +