Application Analysis of Fuzzy Language Based on Evolutionary Neural Network in Art Teaching

In order to improve the teaching effect of art teaching, the performance effect of fuzzy language in art teaching is studied. This paper analyzes the application of fuzzy language in art teaching, and evaluates its performance effect on this basis. After determining the application strategy of fuzzy language in art teaching, the evaluation index system is constructed. Evolutionary neural network is used to calculate the weight of evaluation index. Based on the evaluation index weight and fuzzy judgment matrix, the evaluation results of the performance effect of fuzzy language in art teaching are obtained. The experimental results show that the evaluation indicators selected by this method have high contribution and noise tolerance, and can accurately evaluate the performance effect of fuzzy language in art teaching, which proves that using fuzzy language in art teaching can effectively improve the quality of art teaching.