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Risk Assessment Method on Haze Networks Public Opinion Based on Intuitionistic Fuzzy Choquet Integral

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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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References

  1. Fu, H., Chen, J.: Formation, features and controlling strategies of severe haze-fog pollutions in China. Sci Total Environ. 578, 121–138 (2017)

    Article  Google Scholar 

  2. Zhang, Y., et al.: Research on the index system of public opinion on the Internet for abnormal emergency. J. Intell. (in Chinese). 29(11), 71–75 (2010)

    Google Scholar 

  3. Wu, J., Cao, Q.-W.: Same families of geometric aggregation operators with intuitionistic trapezoidal fuzzy numbers. Appl. Math. Model. 37(1–2), 318–327 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  4. He, H., Patnaik, S.: Research on prediction of internet public opinion based on grey system theory and fuzzy neural network. J. Intell. Fuzzy Syst. 35(1), 325–332 (2018)

    Article  Google Scholar 

  5. Wu, W., et al.: Does the public haze pollution concern expressed on online platforms promoted pollution control? Evidence from Chinese online platforms. J. Clean. Prod. 318, 128477 (2021)

    Article  Google Scholar 

  6. Bao, Q., et al.: Research on Public Environmental Perception of Emotion, Taking Haze as an Example. Int. J. Environ. Res. 18(22), 12115 (2021)

    Google Scholar 

  7. Chen, L., et al.: Agenda-setting on traditional vs social media: An analysis of haze-related content grounded in the extended parallel process model. Internet Res. (2019).

  8. Shan, S., et al.: Analysis of the key influencing factors of haze information dissemination behavior and motivation in WeChat. Inform. Discov. (2017).

  9. Li, C., et al.: Does public concern over haze pollution matter? Evidence from Beijing-Tianjin-Hebei region China. Sci Total Environ. 755, 142397 (2021)

    Article  Google Scholar 

  10. Hu, L., Dong, J.: The participators behavior simulation and the government guidance in the progress of web public opinion evolution. Chin. Soft. Sci. (in chinese). 10, 50–61 (2016)

    Google Scholar 

  11. Li, Q., et al.: Spatial characteristics and influencing factors of risk perception of haze in China: The case study of publishing online comments about haze news on Sina. Sci. Total Environ. 785, 147236 (2021)

    Article  Google Scholar 

  12. Ma, X., et al.: Evolution of online public opinion during meteorological disasters. Environ. Hazards 19(4), 375–397 (2020)

    Article  Google Scholar 

  13. Xu, S., et al.: Can public participation in haze governance be guided by government? Evidence from large-scale social media content data mining. J. Clean. Product. 318, 128401 (2021)

    Article  Google Scholar 

  14. Huo, L.A., Ma, C.: The interaction evolution model of mass incidents with delay in a social network. Physica A 484, 440–452 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  15. Wei, D., Chen, F., Zheng, X.: Internet public opinion chaotic prediction based on chaos theory and the improved radial basis function in neural networks. Acta Physica Sinica. 64(11), 110503 (2015)

    Article  Google Scholar 

  16. Yang, C.C., Dorbin, T.: Ng: analyzing and visualizing web opinion development and social interactions with density-based clustering. IEEE Trans Syst Man Cybern Part A 41(6), 1144–1155 (2011)

    Article  Google Scholar 

  17. Huang, W., Wang, Q., Cao, J.: Tracing public opinion propagation and emotional evolution based on public emergencies in social networks. Int. J. Comput. Commun. Control 13(1), 129–142 (2018)

    Article  Google Scholar 

  18. Lingfeng, D., et al.: Continuous content contribution in virtual community: The role of status-standing on motivational mechanisms. Decis. Support Syst. 132, 15 (2020)

    Google Scholar 

  19. Zhang, W., He, H., Cao, B.: Identifying and evaluating the internet opinion leader community based on k-clique clustering. Neural Comput. Appl. 25(3–4), 595–602 (2013)

    Google Scholar 

  20. Wu, X., et al.: Finding of urban rainstorm and waterlogging disasters based on microblogging data and the location-routing problem model of urban emergency logistics. Ann. Oper. Res. 258, 221–258 (2018)

    Google Scholar 

  21. Zhang, Y.-X., Feng, Y.-X., Yang, R.-Q.: Network public opinion propagation model based on the influence of media and interpersonal communication. Int. J. Modern Phys. B 33(32), 1950393 (2020)

    Article  MathSciNet  Google Scholar 

  22. Shi, B.: A study of the intrinsic evolution mechanism for network sentiment of public crisis events. J. Intell. (in Chinese). 29(4), 41–45 (2010)

    Google Scholar 

  23. Li, Z., Xing, Y.: Research on the evolution of emergency public opinion topic in the new media environment: a case of “Jiuzhaigou Earthquake” in Sina Micro-blog. Information Science (in Chinese) 35(12), 39–44 (2017)

    Google Scholar 

  24. Yi, C.: Analysis on the Changing mechanism of mass emergency network public opinion. J. Intell. (in Chinese). 30(12), 6–12 (2011)

    Google Scholar 

  25. Du, Y., et al.: Extracting and tracking hot topics of micro-blogs based on improved Latent Dirichlet Allocation. Eng. Appl. Artif. Intell. 87, 103279 (2020)

    Article  Google Scholar 

  26. Liu, J.: Study on evolutionary pathways of microblog public opinion from the perspective of crisis communication. J. Intell. (in Chinese). 31(7), 21–24 (2012)

    Google Scholar 

  27. Mei, Y., et al.: Internet public opinion risk grading under emergency event based on AHPSort II-DEMATEL. Sustainability. 11(16), 4440 (2019)

    Article  Google Scholar 

  28. Wu, X., Li, X.: Effects of mass media exposure and social network site involvement on risk perception of and precautionary behavior toward the haze issue in China. Int. J. Commun. 11, 3975–3997 (2017)

    Google Scholar 

  29. Jia, F., Chen, C.-C.: Emotional characteristics and time series analysis of Internet public opinion participants based on emotional feature words. Int. J. Adv. Robot. Syst. 17(1), 172988142090421 (2020)

    Article  Google Scholar 

  30. Xu, Z., Zhao, N.: Information fusion for intuitionistic fuzzy decision making: an overview. Inform. Fusion. 28, 10–23 (2016)

    Article  Google Scholar 

  31. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)

    Article  MATH  Google Scholar 

  32. Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  MATH  Google Scholar 

  33. Sugeno, M.: Theory of fuzzy integral and its applications. Doctoral Thesis Tokyo Institute of Technology (1974).

  34. Wang, Z., Klir, G.J.: Fuzzy measure theory. Verlag US, Springer (1992)

    Book  MATH  Google Scholar 

  35. Wei, G.: Some arithmetic aggregation operators with intuitionistic trapezoidal fuzzy numbers and their application to group decision making. J. Comput. 5(3), 345–351 (2010)

    Article  Google Scholar 

  36. Wang, J., Zhong, Z.: Aggregation operators on intuitionistic trapezoidal fuzzy number and its application to multi-criteria decision making problems. Syst. Eng. Theory Pract. 20(2), 321–326 (2009)

    Google Scholar 

  37. Tan, C., Chen, X.: Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making☆. Expert Syst. Appl. 37(1), 149–157 (2010)

    Article  Google Scholar 

  38. Xu, Z.: Choquet integrals of weighted intuitionistic fuzzy information. Inf. Sci. 180(5), 726–736 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  39. Tan, C.: Generalized intuitionistic fuzzy geometric aggregation operator and its application to multi-criteria group decision making. Soft. Comput. 15(5), 867–876 (2010)

    Article  MATH  Google Scholar 

  40. Tan, C.: A multi-criteria interval-valued intuitionistic fuzzy group decision making with Choquet integral-based TOPSIS. Expert Syst. Appl. 38(4), 3023–3033 (2011)

    Article  Google Scholar 

  41. Wang, J., Nie, R.: Interdependent multi-criteria intuitionistic fuzzy decision-making approach. Control Decis. 26(9), 1348–1352 (2011)

    MathSciNet  MATH  Google Scholar 

  42. Wan, S., Dong, J.: Multi-attribute decision making based on triangular intuitionistic fuzzy number choquet integral operator. Chin.J. Manage. Sci. 22(3), 121–129 (2014)

    Google Scholar 

  43. Meng, F., Zhang, Q., Cheng, H.: Approaches to multiple-criteria group decision making based on interval-valued intuitionistic fuzzy Choquet integral with respect to the generalized λ-Shapley index. Knowl.-Based Syst. 37, 237–249 (2013)

    Article  Google Scholar 

  44. Meng, F., Wang, C., Zhang, Y.: Approach to project investment projects based on the generalized-shapley choquet integral. Oper. Res. Manage. Sci. 25(3), 186–194 (2016)

    Google Scholar 

  45. Zhang, L., Meng, F.: An approach to interval-valued hesitant fuzzy multiattribute group decision making based on the generalized shapley-choquet integral. Complexity 2018, 1–19 (2018)

    MATH  Google Scholar 

  46. Meng, F., Tang, J.: Interval-valued intuitionistic fuzzy multiattribute group decision making based on cross entropy measure and choquet integral. Int. J. Intell. Syst. 28(12), 1172–1195 (2013)

    Article  Google Scholar 

  47. Büyüközkan, G., Feyzioğlu, O., Göçer, F.: Selection of sustainable urban transportation alternatives using an integrated intuitionistic fuzzy Choquet integral approach. Transp. Res. Part D 58, 186–207 (2018)

    Article  Google Scholar 

  48. Xu, Z., Yager, R.R.: Some geometric aggregation operators based on intuitionistic fuzzy sets. Int. J. Gen Syst 35(4), 417–433 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  49. Chen, S.M., Tan, J.M.: Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Syst. 67(2), 163–172 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  50. Hong, D.H., Choi, C.H.: Multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Syst. 114(1), 103–113 (2000)

    Article  MATH  Google Scholar 

  51. Choquet, G.: Theory of capacities. Ann. Inst. Fourier. 5, 131–295 (1954)

    Article  MathSciNet  MATH  Google Scholar 

  52. Shapley, L.: A value for n-person games. Princet. Univ. Press 7, 27–34 (1953)

    MATH  Google Scholar 

  53. Merigo, J., Gillafuente, A.: The induced generalized OWA operator. Inf. Sci. 179(6), 729–741 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  54. Huang, X., Liu, L.: The evaluation method and application of unexpected events network public opinion. Inform. Sci. (in Chinese). 36(4), 3–9 (2018)

    Google Scholar 

  55. Xia, L., et al.: Research on evolution of public opinion in the network based on chain of events. Inform Stud. 17, 9235 (2019)

    Google Scholar 

  56. Yager, R.R.: On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans. Syst. Man Cybernet. 18, 183–190 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  57. Marichal, J.L.: An axiomatic approach of the discrete Choquet integral as a tool to aggregate interacting criteria. IEEE Trans. Fuzzy Syst. 8(6), 800–807 (2000)

    Article  Google Scholar 

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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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Author notes

  1. Chaoyu Zhenga and Anxia Wana have contributed equally to this work.

Authors and Affiliations

  1. School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, People’s Republic of China

    Benhong Peng, Chaoyu Zheng, Xuan Zhao & Anxia Wan

  2. Department of Mathematics and Computer Science, University of North Carolina at Pembroke, Pembroke, NC, 28372, USA

    Guo Wei

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  1. Benhong Peng
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  2. Chaoyu Zheng
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Correspondence to Chaoyu Zheng or Guo Wei.

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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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