Fuzzy Theory-Based Tab Analysis of Art Education Evaluation Index

Abstract

Art teaching evaluation is the most important part of the whole art teaching activity, and it is also a part that is easily ignored. The traditional teaching evaluation method ignores the identity of students as evaluators and also ignores the colorful personalities of students in art teaching. The promotion of all students’ enthusiasm for art learning, stimulating and maintaining all students’ interest in art learning, self-knowledge, and innovation consciousness, is obviously insufficient. Based on the method of fuzzy decision-making, this paper proposes a fuzzy evaluation method of teaching quality, formulates an evaluation index system, ends some problems existing in the traditional method, and achieves good results in teaching practice. The research results of the article show the following: (1) The scores of the four first-level indicators are in a good stage, and the scores are generally maintained above 4.0. Among them, the highest score of art teaching design can reach 5.7, indicating that the influence on art teaching is relatively large, and it should be paid attention to in the process of daily teaching. (2) The model proposed in this article has a running accuracy of 95.61% in the training set and 91.45% in the validation set, although the performance of the three detection models is reduced to a certain extent after the test set is run. However, the accuracy of the model in this paper has the least room for decline, only 4.16%. The decline values of the other two models are 9.47% and 12.72%, respectively, and the detection value of the model in the article is still the highest among all detection models. According to the PR curves of the three models, the balance point of the fuzzy decision-making education model is 0.8, the deep learning model is 0.6, and the BP neural network is 0.4. The balance point of the fuzzy decision-making education model is larger than of the other two models; that is, the fuzzy decision-making model has a performance that is better than the other two models.