DEVELOPING THE MUSIC THERAPY REGULATION SYSTEM BASED ON FUZZY THEORY AND SUPPORT VECTOR MACHINE

This study aims to help users achieve deep relaxation, alleviate negative emotions such as anxiety, depression, and tension, and promote overall mental well-being through music. To achieve this, the study adopts a theoretical framework based on a comprehensive review of recent research on music therapy systems. Additionally, it proposes a supply chain information assessment process for the music therapy regulation system using fuzzy theory and the development of a music therapy regulation system based on support vector machine (SVM) and fuzzy theory from a supply chain management perspective. The effectiveness of the music therapy regulation system is evaluated by collecting Electroencephalogram (EEG) data from 25 participants using portable EEG collection equipment. The study introduces a music therapy regulation system based on fuzzy theory and SVM, enhanced by supercomputing and high-performance computing (HPC) techniques. These technologies significantly improve the scientific and accurate interpretation of users’ mental and physical states in response to music, providing a solid foundation for comparing changes in their states before and after relaxation and for alleviating negative emotions. The study findings indicate that the incorporation of supercomputing and HPC enhances the evaluation model’s effectiveness in managing the music therapy regulation system. The research findings show that the SVM classification model achieves a higher classification accuracy of 90.43% in the automatic classification of music genres task compared to random forests and the Back Propagation Neural Network (BPNN). Additionally, the application of HPC technology significantly enhances the scientific and accurate interpretation of users’ physiological and psychological responses to music. In summary, this study focuses on classifying the music therapy regulation system using the SVM model and establishes a management effectiveness evaluation model based on fuzzy theory.