Incomplete information systems based on the set values of attributes

被引:0
|
作者
Ye, XP [1 ]
Tang, Y [1 ]
Ji, YJ [1 ]
Xing, J [1 ]
Bai, Y [1 ]
机构
[1] Zhongshan Univ, Dept Comp Sci, Guangzhou 510275, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we discuss Rough Set approach to the incomplete information systems which based on set values of attributes. We study three relations in the incomplete information systems, and show the Rough approximations of these relations have the property in monotone, finally, we propose reduction of the systems.
引用
收藏
页码:733 / 738
页数:6
相关论文
共 50 条
  • [21] 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
  • [22] A Relative Tolerance Relation of Rough Set for Incomplete Information Systems
    Saedudin, Rd. Rohmat
    Mahdin, Hairulnizam
    Kasim, Shahreen
    Sutoyo, Edi
    Yanto, Iwan Tri Riyadi
    Hassan, Rohayanti
    RECENT ADVANCES ON SOFT COMPUTING AND DATA MINING (SCDM 2018), 2018, 700 : 72 - 81
  • [24] Approximate Supplement-Based Neighborhood Rough Set Model in Incomplete Hybrid Information Systems
    Yang, Jilin (jilinyang@sicnu.edu.cn), 1600, Springer Science and Business Media Deutschland GmbH (14327 LNAI):
  • [25] A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems
    Liu, Dun
    Li, Tianrui
    Zhang, Junbo
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2014, 55 (08) : 1764 - 1786
  • [26] Rough set models of incomplete information system based on random fuzzy set
    Faculty of Computer, Guangdong University of Technology, Guangzhou 510090, China
    不详
    Moshi Shibie yu Rengong Zhineng, 2009, 1 (53-59):
  • [27] Learning from an incomplete information system with continuous-valued attributes by a rough set technique
    Tsang, Eric C. C.
    Zhao, Suyun
    Yeung, Daniel S.
    Lee, John W. T.
    ADVANCES IN MACHINE LEARNING AND CYBERNETICS, 2006, 3930 : 568 - 577
  • [28] CONSUMERS' INFERENTIAL EVALUATIONS OF SUSTAINABILITY ATTRIBUTES BASED ON INCOMPLETE PRODUCT INFORMATION
    Gruber, Verena
    Schlegelmilch, Bodo B.
    Houston, Michael J.
    Marketing Dynamism & Sustainability-Things Change, Things Stay the Same..., 2015, : 269 - 269
  • [29] 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
  • [30] On two types of generalized rough set approximations in incomplete information systems
    Wu, WZ
    Xu, YH
    2005 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2, 2005, : 303 - 306