Intelligent matching algorithm of musical characters based on fuzzy logic

With the rapid expansion of the musical market, the complex multi-dimensional feature matching in the casting process has become a challenge. Traditional methods rely too much on subjective judgment to ensure the best match between the role and the actor. This study proposes an intelligent character matching algorithm based on fuzzy logic to improve the scientific and accurate casting by processing multiple features such as vocal music, acting, and dance. In the process of research, the matching accuracy of the model in different role types is more than 85% on average, and the model has excellent performance in the matching of the protagonist and the supporting role. The results show that the matching algorithm based on fuzzy logic can improve the efficiency and accuracy of musical casting, and provide powerful technical support for future musical production.