Affiliations: [a] College of Science, Chongqing University of Posts and Telecommunications Nanan, Chongqing, P.R. China
| [b] School of Mathematics and Information Science, Guangxi University, Nanning, Guangxi, P.R. China
Correspondence:
[*]
Corresponding author. Dong Qiu, School of Mathematics and Information Science, Guangxi University, Nanning, Guangxi, 530004, P.R. China. E-mail: [email protected].
Note: [1] This work was supported by the National Natural Science Foundation of China (Grant no. 12171065).
Abstract: In order to explore effective management strategies in the context of epidemics, this study introduces a novel concept: Trapezoidal type-2 fuzzy linguistic intuitionistic fuzzy set (TrT2FLIFS) and proposes a trapezoidal type-2 fuzzy linguistic intuitionistic fuzzy matrix game (TrT2FLIFMG). Subsequently, employing sentiment analysis based on the BosonNLP sentiment lexicon, the study extracts comment data from Weibo related to epidemics made by users and calculates their textual scores. These two methods are integrated and applied to policy selection in epidemic management, along with the introduction of a new ranking function to compare the importance of alternative policies. Finally, a comparative analysis with existing methods is conducted to validate the effectiveness of the proposed approach.
