Implications of Immersive Online Game Expert System for Ideological and Political Teaching Based on Set Theory and Artificial Intelligence

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Abstract

This paper analyzes ideological and political teaching by combining covering set theory and artificial intelligence technology, constructs a corresponding expert system, and presents a design method of interval type-2 fuzzy model based on rule reduction and differential evolution.Moreover, the rule reduction method is used in this paper to reduce the number of rules of the interval type-2 fuzzy model to a certain extent, and reduce the parameter scale of the model.On this basis, this paper uses the differential evolution algorithm to optimize the parameters of the reduced interval type-2 fuzzy model to further improve the performance of the model.The research shows that the expert system of ideological and political teaching based on covering set theory and artificial intelligence proposed in this paper has a good effect and can effectively process various information of ideological and political teaching.

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Chen, H. (2024). Implications of Immersive Online Game Expert System for Ideological and Political Teaching Based on Set Theory and Artificial Intelligence. Computer-Aided Design and Applications, 21(S5), 138–156. https://doi.org/10.14733/cadaps.2024.S5.138-156

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