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 :
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