EXTRACTING LAWS FROM DECISION TABLES - A ROUGH SET APPROACH

被引：84
|
作者：
SKOWRON, A
机构：
[1] Institute of Mathematics, Warsaw University, Warsaw, 02-097
来源：
COMPUTATIONAL INTELLIGENCE | 1995年 / 11卷 / 02期
关键词：
REASONING UNDER UNCERTAINTY; ROUGH SETS; KNOWLEDGE DISCOVERY; MACHINE LEARNING;
D O I：
10.1111/j.1467-8640.1995.tb00039.x
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present some methods, based on the rough set and Boolean reasoning approaches, for extracting laws from decision tables. First we discuss several procedures for decision rules synthesis from decision tables. Next we show how to apply some near-to-functional relations between data to data filtration. Two methods of searching for new classifiers (features) are described: searching for new classifiers in a given set of logical formulas, and searching for some functions approximating near-to-functional relations.
引用
收藏
页码：371 / 388
页数：18
相关论文
共 50 条
  • [21] ROUGH REDUCTIONS OF DECISION TABLES
    KOWALCZYK, A
    SZYMANSKI, J
    [J]. COMPUTING AND INFORMATION, 1989, : 255 - 261
  • [22] Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model
    Miao, D. Q.
    Zhao, Y.
    Yao, Y. Y.
    Li, H. X.
    Xu, F. F.
    [J]. INFORMATION SCIENCES, 2009, 179 (24) : 4140 - 4150
  • [23] ROUGH SET APPROACH TO MULTIATTRIBUTE DECISION-ANALYSIS
    PAWLAK, Z
    SLOWINSKI, R
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1994, 72 (03) : 443 - 459
  • [24] Extension of the rough set approach to multicriteria decision support
    Greco, S
    Matarazzo, B
    Slowinski, R
    [J]. INFOR, 2000, 38 (03) : 161 - 195
  • [25] Rough Set Approach to Multivariate Decision Trees Inducing
    Wang, Dianhong
    Liu, Xingwen
    Jiang, Liangxiao
    Zhang, Xiaoting
    Zhao, Yongguang
    [J]. JOURNAL OF COMPUTERS, 2012, 7 (04) : 870 - 879
  • [26] A Rough Set Based Approach for Ranking Decision Rules
    Sabu, M. K.
    Raju, G.
    [J]. ADVANCES IN COMPUTING AND COMMUNICATIONS, PT I, 2011, 190 : 671 - +
  • [27] Extension of the rough set approach to multicriteria decision support
    Greco, Salvatore
    Matarazzo, Benedetto
    Slowinski, Roman
    [J]. INFOR Journal, 2000, 38 (03): : 161 - 195
  • [28] Rough set based approach for inducing decision trees
    Wei, Jin-Mao
    Wang, Shu-Qin
    Wang, Ming-Yang
    You, Jun-Ping
    Liu, Da-You
    [J]. KNOWLEDGE-BASED SYSTEMS, 2007, 20 (08) : 695 - 702
  • [29] Extension of rough sets model for probabilistic decision analysis from rough-fuzzy decision tables
    School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
    [J]. Dongnan Daxue Xuebao, 2006, 5 (842-846):
  • [30] Rough Set Model Based on Parameterized Probabilistic Similarity Relation in Incomplete Decision Tables
    Do Van, Nguyen
    Yamada, Koichi
    Unehara, Muneyuki
    [J]. 6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS, 2012, : 577 - 582
12345