In music teaching, in-depth mining of resource information and student characteristic information, etc. provides a new perspective of music resource application. This study introduces the fuzzy neutrosophic information theory into the design of intelligent music visualization teaching system, making full use of the correlation of information data. Solving the similarity of different types of resources, clustering and integrating music resources. Incorporate student personality characteristics/common characteristics/experience teaching strategy rules to generate intelligent instruction strategies. Weighted average resource feature importance and student interest, sort the overall interest, and improve the accuracy of resource recommendation. When the number of clusters is 5, the resource recommendation accuracy of the intelligent music visualization teaching system based on fuzzy neutrosophic information reaches 0.909-0.978, which is able to recommend appropriate music resources according to the actual situation of students.
