A new rough set approach to knowledge discovery in incomplete information systems

被引：10
|
作者：
Wu, WZ [1 ]
Mi, JS [1 ]
Zhang, WX [1 ]
机构：
[1] Xi An Jiao Tong Univ, Fac Sci, Inst Informat & Syst Sci, Xian 710049, Shaanxi, Peoples R China
来源：
2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS | 2003年
关键词：
rough sets; decision rules; incomplete information systems; knowledge acquisition;
D O I：
10.1109/ICMLC.2003.1259773
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The purpose of this paper is to deal with knowledge acquisition in incomplete decision tables. The concept of labeled block set in incomplete information systems is proposed. Two kinds of partitions, lower and upper approximations, are then formed for the mining of certain and possible rules in incomplete decision tables. The induction of optimal rules in such tables is also examined.
引用
收藏
页码：1713 / 1718
页数：6
相关论文
共 50 条
  • [41] Rough set approach to incomplete data
    Grzymala-Busse, JW
    [J]. ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2004, 2004, 3070 : 50 - 55
  • [42] Diagnostic knowledge discovery with rough set
    Peng, XY
    Peng, Y
    [J]. PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 1, 2002, : 622 - 625
  • [43] Rough Set Approximations in an Incomplete Information Table
    Hu, Mengjun J.
    Yao, Yiyu Y.
    [J]. ROUGH SETS, IJCRS 2017, PT II, 2017, 10314 : 200 - 215
  • [44] Uncertainty measures of roughness of knowledge and rough sets in incomplete information systems
    Liang, JY
    Xu, ZB
    [J]. PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 2526 - 2529
  • [45] Knowledge reduction of pessimistic multigranulation rough sets in incomplete information systems
    Zhang, Chengling
    Li, Jinjin
    Lin, Yidong
    [J]. SOFT COMPUTING, 2021, 25 (20) : 12825 - 12838
  • [46] A rough set approach to knowledge discovery in analyzing competitive advantages of firms
    Yuan Li
    Xiuwu Liao
    Wenhong Zhao
    [J]. Annals of Operations Research, 2009, 168 : 205 - 223
  • [47] Knowledge reduction of pessimistic multigranulation rough sets in incomplete information systems
    Chengling Zhang
    Jinjin Li
    Yidong Lin
    [J]. Soft Computing, 2021, 25 : 12825 - 12838
  • [48] Knowledge discovery in medical multi-databases: A rough set approach
    Tsumoto, S
    [J]. PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY, 1999, 1704 : 147 - 155
  • [49] Information Systems and Rough Set Approximations: An Algebraic Approach
    Khan, Md Aquil
    Banerjee, Mohua
    [J]. PATTERN RECOGNITION AND MACHINE INTELLIGENCE, 2011, 6744 : 339 - 344
  • [50] Conflict analysis and information systems: A rough set approach
    Skowron, Andrzej
    Ramanna, Sheela
    Peters, James F.
    [J]. ROUGH SETS AND KNOWLEDGE TECHNOLOGY, PROCEEDINGS, 2006, 4062 : 233 - 240
12345