The Line Dance Movement and Folk Dance Culture Evolution Model Based on Ultra-Gradient Fuzzy Rules

Abstract

In view of the problems that current existing line dance movement and folk dance culture evolution models are time-consuming and computationally inefficient, this article proposes the line dance movement and folk dance culture evolution model based on ultra-gradient fuzzy rules. It ranks the line dance movement and folk dance cultures according to their evolutionary characteristics, establishes an evolution model based on the ultra-gradient fuzzy rules; then uses the local optimization schemes to add elite samples or delete weaker samples to the selected feature sets. It gradually conducts optimization operations during the evolution process of the line dance movement and folk dance cultures to reduce the overall computational costs. Finally, comparative experiments show that: the evolution quality and speed of the line dance movement and folk dance cultures of this model are better than those of other models, and can maintain better diversity in the evolution process of line dance movement and folk dance cultures.