Title: Multimedia artificial intelligence for innovative system of university cultural tourism music education based on fuzzy theory
Authors: Shuai Huang
Addresses: College of Art, Zhengzhou Technology and Business University, Zhengzhou, 451400, China
Abstract: This paper discusses the systematic reconstruction of cultural tourism music education in colleges and universities under the background of informatisation. In view of the inherent subjectivity and aesthetic uncertainty of music art, this paper applies fuzzy theory to optimise teaching methods and constructs a teaching framework that accommodates multi-dimensional interpretation to meet the complex artistic communication needs in cultural tourism scenarios. Based on the actual circulation of teaching resources against the background of cultural tourism integration, this paper analyses the information asymmetry between textbooks and interdisciplinary practical equipment inventory, and proposes a supply chain management structure diagram based on information platforms to ensure the accurate supply of diversified teaching resources. Combined with the characteristics of the information age, this paper uses the questionnaire survey method to explore the penetration mechanism of multimedia artificial intelligence (AI) technology into the current situation of cultural tourism music education in colleges and universities.
Keywords: fuzzy theory; artificial intelligence; college music education; supply chain management.
DOI: 10.1504/IJART.2026.154758
International Journal of Arts and Technology, 2026 Vol.16 No.6, pp.100 - 115
Received: 22 Feb 2026
Accepted: 15 Apr 2026
Published online: 13 Jul 2026 *


