Risk Level Determination and Early Warning Simulation of Emergency Network Public Opinion
Network public opinion events have the characteristics of abruptness and wide outbreak area.If they are not handled in time,they will cause serious negative effects.Therefore,a network public opinion risk early warning method based on intuitionistic fuzziness is proposed for emergencies.The evolution process of network public opinion of emergencies is obtained through network situation analysis,the influence degree and propagation speed of the event are determined according to expert experience,the reasoning conditions and the risk level of network public opinion are intuitively blurred,and the relationship between them is clarified.Calculate the closeness of reasoning results and intuitionistic fuzzy subsets of risk levels,and use the maximum closeness principle as the basis for risk level judgment to achieve network public opinion risk early warning of emergencies.The experimental results show that the proposed method can obtain the network public opinion risk early warning results with high accuracy,and has a positive role in ensuring network security.
Fuzzy intuitionEmergenciesNetwork public opinionRisk warningNetwork situation
NETL
NSTL
万方数据
