International Chinese Education Expert System Based on Artificial Intelligence and Machine Learning Algorithms

• Published in: Journal of Mathematics Vol. 2022; no. 1
• Main Authors: Shen, Lin, Latif, Faiza
• Format: Journal Article
• Language: English
• Published: Cairo Hindawi 2022; John Wiley & Sons, Inc; Wiley
• Subjects: Algorithms; Artificial intelligence; China; Communication; Cooperation; Data mining; Decision making; Decision theory; Distance learning; Education; Educational software; Educational technology; Entropy (statistics); Expert systems; Fuzzy sets; Interdisciplinary subjects; Knowledge; Learning strategies; Machine learning; Mathematics; Multimedia; Online instruction; Students; Teachers; Weighting methods; China
• ISSN: 2314-4629; 2314-4785
• DOI: 10.1155/2022/2160289

This study builds an international Chinese education expert system based on artificial intelligence and machine learning algorithms, introduces interval intuition fuzzy sets to express expert evaluation information, and uses the entropy weight method to determine the weight of evaluation attributes in order to improve the effect of international Chinese teaching and learning. The group utility value, personal regret value, and comprehensive evaluation value of each system are then calculated in this study. At the same time, this study introduces the degree of closeness and satisfaction to improve the decision-making process and finally determines the optimal solution. In addition, this study constructs an intelligent system based on the improved algorithm. The research shows that the international Chinese education expert system based on artificial intelligence and machine learning algorithm proposed in this study has a very good effect.