The significance measure for attributes in inconsistent decision tables

被引：0
|
作者：
Shao, MW [1 ]
Zhang, WX [1 ]
机构：
[1] Xian Jiaotong Univ, Fac Sci, Inst Informat & Syst Sci, Xian 710049, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词：
rough sets; decision tables; knowledge reductions;
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, by efficient utilizing discernibility attribute set, it gives the sufficient and necessary conditions to justify an attribute is indispensable, relatively dispensable or absolutely dispensable in inconsistent decision tables. A variety of discernibility functions also can be constructed, from which the cost for computing the reducts is reduced. This means that it can provide a more efficient computation for knowledge reductions in inconsistent decision tables, especially in large information systems.
引用
收藏
页码：2246 / 2250
页数：5
相关论文
共 50 条
  • [1] Classification for Inconsistent Decision Tables
    Azad, Mohammad
    Moshkov, Mikhail
    ROUGH SETS, (IJCRS 2016), 2016, 9920 : 525 - 534
  • [2] On reduction of attributes in inconsistent decision tables based on information entropies and stripped quotient sets
    Nguyen Ngoc Thuy
    Wongthanavasu, Sartra
    EXPERT SYSTEMS WITH APPLICATIONS, 2019, 137 : 308 - 323
  • [3] Knowledge reduction in inconsistent decision tables
    Liu, Qihe
    Chen, Leiting
    Zhang, Jianzhong
    Min, Fan
    ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS, 2006, 4093 : 626 - 635
  • [4] Classification and Optimization of Decision Trees for Inconsistent Decision Tables Represented as MVD tables
    Azad, Mohammad
    Moshkov, Mikhail
    PROCEEDINGS OF THE 2015 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2015, 5 : 31 - 38
  • [5] Quick attribute reduction in inconsistent decision tables
    Li, Min
    Shang, Changxing
    Feng, Shengzhong
    Fan, Jianping
    INFORMATION SCIENCES, 2014, 254 : 155 - 180
  • [6] Approaches to knowledge reductions in inconsistent decision tables
    College of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu 610054, China
    Kongzhi yu Juece Control Decis, 2006, 8 (857-862):
  • [7] Approaches to approximation reducts in inconsistent decision tables
    Mi, JS
    Wu, WZ
    Zhang, WX
    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, 2003, 2639 : 283 - 286
  • [8] Core set analysis in inconsistent decision tables
    Yin, Linzi
    Gui, Weihua
    Yang, Chunhua
    Wang, Xiaoli
    Ling, Charles X.
    INFORMATION SCIENCES, 2013, 241 : 138 - 147
  • [9] Approximation reduction in inconsistent incomplete decision tables
    Qian, Yuhua
    Liang, Jiye
    Li, Deyu
    Wang, Feng
    Ma, Nannan
    KNOWLEDGE-BASED SYSTEMS, 2010, 23 (05) : 427 - 433
  • [10] On elimination of redundant attributes in decision tables
    Long Giang Nguyen
    Hung Son Nguyen
    2012 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS), 2012, : 317 - 322
12345