• DocumentCode
    2605955
  • Title

    The Research on Fuzzy Bayesian Network Model for the Network Public Opinion Situation and Threat Assessment

  • Author

    Fang, Jiaoli ; Huang, Jianming ; Liu, Ming

  • fYear
    2012
  • fDate
    21-24 Oct. 2012
  • Firstpage
    175
  • Lastpage
    178
  • Abstract
    In this paper, The project is based on the network information security research foundation, to the public opinion surveillance and early warning research as the breakthrough point, in view of the network public opinion situation change of complexity and diversity, especially the network information uncertainty and fuzziness, constructs a fuzzy Bayesian network model to solve the public opinion situation and threat assessment effectively. The research results can be a variety of network public opinion characteristics factors synthetically, the different time slice characteristic factors are modified, which can accurately track the network public opinion situation and threat of development and change, improve public opinion monitoring and early warning of quality.
  • Keywords
    belief networks; fuzzy reasoning; fuzzy set theory; public information systems; security of data; early warning research; fuzzy Bayesian network model; network information fuzziness; network information security research foundation; network information uncertainty; network public opinion characteristics factors; network public opinion situation; public opinion monitoring; public opinion surveillance; threat assessment; time slice characteristic factors; Algorithm design and analysis; Bayesian methods; Cognition; Computational modeling; Inference algorithms; Market research; Uncertainty; evaluation model; fuzzy reasoning; situation assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Distributed Computing (ICNDC), 2012 Third International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2165-5006
  • Print_ISBN
    978-1-4673-2858-6
  • Type

    conf

  • DOI
    10.1109/ICNDC.2012.49
  • Filename
    6386676