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
Link To Document