Research on Bayesian network structure learning based on Rough Set

被引：0
|
作者：
Li, Yu-ling [1 ,2 ]
Wu, Qi-zong [2 ]
机构：
[1] Henan Univ, Inst Data & Knowledge Engn, Kaifeng 475001, Henan, Peoples R China
[2] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
来源：
FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 3, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/FSKD.2007.471
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Rough Set theory and method is one kind of effective method for dealing with complicated system, but it fails to contain the theory and mechanism handling imprecise or uncertain data So, it has strong complementarities with Bayesian network theory. The paper puts forward a kind of Bayesian network structure learning method combining Rough Set theory with Bayesian network. Inclusion theory of Rough Set is used to mine cause and effect associated rules which determine arc and its direction between Bayesian network variables. At the same time, mining arithmetic of associated rules is presented in the paper Finally, it shows rationality and validity of the approach through experiment analysis.
引用
收藏
页码：183 / +
页数：2
相关论文
共 50 条
  • [31] Research on the fault diagnosis method for high-speed loom using rough set and Bayesian network
    Xiao, Yanjun
    Zhang, Heng
    Zhou, Wei
    Wan, Feng
    Meng, Zhaozong
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (01) : 1147 - 1161
  • [32] The Prediction Models of Electronic Products Design Defects Based on Rough Set Bayesian Network Theory
    Hu Wensong
    Zhu Yuyuan
    [J]. SOCIAL SCIENCE AND EDUCATION, 2013, 9 : 695 - +
  • [33] Synthetic Fault Diagnosis Method of Power Transformer Based on Rough Set Theory and Bayesian Network
    Wang, Yongqiang
    Lu, Fangcheng
    Li, Heming
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2008, PT 2, PROCEEDINGS, 2008, 5264 : 498 - 505
  • [34] Research on Evaluation Model of the Urban Economy Based on Rough Set and Neural Network
    Yan, L.
    Zhang, L. P.
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL APPLICATIONS (CISIA 2015), 2015, 18 : 433 - 436
  • [35] Research on P-hub Network Based on Rough Set: Model and Algorithm
    Liu, Qing
    Wu, Tongshui
    Luo, Xianfei
    [J]. MECHATRONICS AND INTELLIGENT MATERIALS, PTS 1 AND 2, 2011, 211-212 : 720 - +
  • [36] An estimation model of research cost based on rough set and artificial neural network
    Jiang, Yangyi
    Zhang, Hengxi
    Xie, Jiang
    Meng, Ke
    [J]. COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS, 2006, 4114 : 766 - 771
  • [37] Research on fuzzy neural network modeling method based on rough set theory
    Liu, Can
    Chen, Duntong
    Peng, Yonghong
    Yao, Xifan
    [J]. Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2001, 12 (11):
  • [38] A rough CP neural network model based on rough set
    Dong, Min
    Jiang, HuiYu
    Li, XiangPeng
    [J]. ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS, 2007, : 735 - +
  • [39] Structure changed Fuzzy Neural Network based on spectral reduction of rough set
    Zhang, Gaoyu
    Liang, Jimin
    Zhao, Heng
    Yang, Wanhai
    [J]. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 3385 - 3388
  • [40] Research on Self-learning Model Based on Bayesian Network
    Yang, Qing
    Zhang, Lianfa
    Wang, Xueping
    Huang, Zhufeng
    [J]. SEVENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, VOLS I-III, 2008, : 839 - 844
12345