Attribute Reduction for Imprecise Decision Tables

被引：0
|
作者：
Inuiguchi, Masahiro [1 ]
Li, Bingjun [2 ]
机构：
[1] Osaka Univ, Grad Sch Engn Sci, Dept Syst Innovat, Toyonaka, Osaka 5608531, Japan
[2] Henan Agr Univ, Coll Informat & Management Sci, Zhengzhou 450002, Peoples R China
来源：
2012 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC 2012) | 2012年
关键词：
rough set; imprecise decision table; reduct; presumable value; possible value; ROUGH SET APPROACH;
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 investigate approaches to attribute reduction for decision tables with imprecise decision attribute values. First, we introduce imprecise decision tables, and presumable and possible decision attribute value sets. We define several meaningful object sets based on the twofold decision attribute value sets. Using those object sets, we propose value-oriented and object-oriented approaches to attribute reduction of imprecise decision tables. We show some properties of several reducts defined by the approaches. These properties help the selection of reducts suitable for the problem and analyst preference. A numerical example is given.
引用
收藏
页码：205 / 210
页数：6
相关论文
共 50 条
  • [21] Dependence-space-based attribute reduction in consistent decision tables
    Ju-Sheng Mi
    Yee Leung
    Wei-Zhi Wu
    Soft Computing, 2011, 15 : 261 - 268
  • [22] Analysis of alternative objective functions for attribute reduction in complete decision tables
    Jie Zhou
    Duoqian Miao
    Witold Pedrycz
    Hongyun Zhang
    Soft Computing, 2011, 15 : 1601 - 1616
  • [23] Numerical Attribute Reduction in Decision Tables Based on Weighted Discernibility Matrix
    Chen Wei-zheng
    Dong Wei
    Ji Yin-dong
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 4012 - 4017
  • [24] Analysis of alternative objective functions for attribute reduction in complete decision tables
    Zhou, Jie
    Miao, Duoqian
    Pedrycz, Witold
    Zhang, Hongyun
    SOFT COMPUTING, 2011, 15 (08) : 1601 - 1616
  • [25] Dependence-space-based attribute reduction in consistent decision tables
    Mi, Ju-Sheng
    Leung, Yee
    Wu, Wei-Zhi
    SOFT COMPUTING, 2011, 15 (02) : 261 - 268
  • [26] Efficient Algorithms for Attribute Reduction on Set-Valued Decision Tables
    Sinh Hoa Nguyen
    Thi Thu Hien Phung
    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, 2013, 8170 : 87 - 98
  • [27] A NEW TYPE OF ATTRIBUTE REDUCTION FOR INCONSISTENT DECISION TABLES AND ITS COMPUTATION
    Ye, Dongyi
    Chen, Zhaojiong
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2010, 18 (02) : 209 - 222
  • [28] Multiple attribute decision analysis with imprecise information
    Yoon, Kwangsun
    Kim, Gyutai
    IIE Transactions (Institute of Industrial Engineers), 1989, 21 (01): : 21 - 26
  • [29] Fast attribute reduction by neighbor inconsistent pair selection for dynamic decision tables
    Zhang, Chucai
    Liu, Hong
    Lu, Zhengxiang
    Dai, Jianhua
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 15 (03) : 739 - 756
  • [30] Fast attribute reduction by neighbor inconsistent pair selection for dynamic decision tables
    Chucai Zhang
    Hong Liu
    Zhengxiang Lu
    Jianhua Dai
    International Journal of Machine Learning and Cybernetics, 2024, 15 : 739 - 756
12345