Rough set approach to incomplete information systems

被引:891
|
作者
Kryszkiewicz, M [1 ]
机构
[1] Warsaw Univ Technol, Inst Comp Sci, PL-00665 Warsaw, Poland
关键词
rough sets; incomplete information systems; decision rules;
D O I
10.1016/S0020-0255(98)10019-1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the paper we present Rough Set approach to reasoning in incomplete information systems. We propose reduction of knowledge that eliminates only that information, which is not essential from the point of view of classification or decision making. In our approach we make only one assumption about unknown values: the real value of a missing attribute is one from the attribute domain. However, we do not assume which one. We show how to find decision rules directly from such an incomplete decision table, which are as little non-deterministic as possible and have minimal number of conditions. (C) 1998 Published by Elsevier Science Inc. All rights reserved.
引用
收藏
页码:39 / 49
页数:11
相关论文
共 50 条
  • [1] An approach to rough set decomposition of incomplete information systems
    Qizhong, Zhang
    [J]. ICIEA 2007: 2ND IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-4, PROCEEDINGS, 2007, : 2455 - 2460
  • [2] Knowledge acquisition in incomplete information systems: A rough set approach
    Leung, Y
    Wu, WZ
    Zhang, WX
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 168 (01) : 164 - 180
  • [3] A new rough set approach to knowledge discovery in incomplete information systems
    Wu, WZ
    Mi, JS
    Zhang, WX
    [J]. 2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 1713 - 1718
  • [4] Rough set approach under dynamic granulation in incomplete information systems
    Qian, Yuhua
    Liang, Jiye
    Zhang, Xia
    Dang, Chuangyin
    [J]. MICAI 2007: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2007, 4827 : 1 - +
  • [5] Rough Set Approach to Incomplete Decision Systems
    Xu, Wen-hua
    Wei, Zhi-qiang
    Lu, Zheng-cai
    [J]. INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND ENGINEERING (ACSE 2014), 2014, : 174 - 179
  • [6] Distributed approach for computing rough set approximations of big incomplete information systems
    Hamed, Ahmed
    Sobhy, Ahmed
    Nassar, Hamed
    [J]. INFORMATION SCIENCES, 2021, 547 : 427 - 449
  • [7] Knowledge acquisition in incomplete fuzzy information systems via the rough set approach
    Wu, WZ
    Zhang, WX
    Li, HZ
    [J]. EXPERT SYSTEMS, 2003, 20 (05) : 280 - 286
  • [8] Attribute Reduction of Incomplete Information Systems: An Intuitionistic Fuzzy Rough Set Approach
    Singh, Shivani
    Shreevastava, Shivam
    Som, Tanmoy
    [J]. RECENT ADVANCES IN INTELLIGENT INFORMATION SYSTEMS AND APPLIED MATHEMATICS, 2020, 863 : 628 - 643
  • [9] Dominance-based rough set approach to incomplete ordered information systems
    Du, Wen Sheng
    Hu, Bao Qing
    [J]. INFORMATION SCIENCES, 2016, 346 : 106 - 129
  • [10] Rough Set Approach to Incomplete Multiscale Information System
    Yang, Xibei
    Qi, Yong
    Yu, Dongjun
    Yu, Hualong
    Song, Xiaoning
    Yang, Jingyu
    [J]. SCIENTIFIC WORLD JOURNAL, 2014,