Abstract
Haze Internet rumors have caused a serious negative impact on people's daily life and social stability in recent years. Therefore, this paper proposes a new approach to identify and assess the Internet rumors by intuitionistic fuzzy linguistic set and Choquet integrals method. First, non-additive measures and Choquet integrals calculating the comprehensive assessments of Internet public opinion are applied to incorporate the interaction between attributes. Then, the attribute weight is determined by the generalized Shapley function. In addition, an example of haze network public opinion risk shows that the approach has good identification and assessment effect. The approach can be used to solve the problems of fuzziness and subjectivity in linguistic assessments, and it can be applied to identify the customer service framework with the linguistic assessments process in emergency management. From the results, it infers that the haze network public opinion risk is directly related to haze incidents, while the role of media and Internet users can only indirectly affect the public opinion dissemination.
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Acknowledgements
This work was financially supported by Humanities and social sciences research project of the Ministry of Education (20YJAZH096), and in part by the China Scholarship Council under Grant <202008320538, 202109040034>, Postgraduate Research and Practice Innovation Program of Jiangsu Province (KYCX21_1035); Meteorological soft science project of China (2022zzxm24).
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Peng, B., Zheng, C., Wei, G. et al. Risk Assessment Method on Haze Networks Public Opinion Based on Intuitionistic Fuzzy Choquet Integral. Int. J. Fuzzy Syst. 24, 2858–2872 (2022). https://doi.org/10.1007/s40815-022-01300-4
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DOI: https://doi.org/10.1007/s40815-022-01300-4