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A new uncertain multi-objective rumor intervention model

  • Meiling Jin,
  • Yan Wang,
  • Fengming Liu,
  • Chunhua Gao,
  • Shize Ning

摘要

Internet rumors have no factual basis, lack credibility, and can easily trigger social panic and group attacks. Measures to effectively intervene in rumors play a crucial role in curbing the spread of rumors. However, government departments have limited resources, and optimizing the intervention of rumors under the premise of conserving resources is valuable research. Therefore, from the government’s perspective, this paper takes the maximization of the effect of rumor intervention and the depreciation of the intervention cost as the decision-making goals. Then, based on the uncertainty of government influence, cost, environmental purification benefit, and other factors, the degree of intervention was used as the decision-making variable to establish an uncertain multi-objective rumor intervention model. In addition, the model is mathematically derived, and its equivalent form is given. Finally, the model’s effectiveness is verified by experimental comparison of different rumor categories and comparison with the classical model. This study provides solid theoretical support for the government to save resources and effectively intervene in spreading of rumors.