Abstract With the continuous increase in car ownership, traffic safety issues are receiving increasing attention from people. Many car manufacturers and research institutions have developed various car safety driving systems to improve driving safety. Among them, the automotive safety driving reference system based on fuzzy decision trees has been widely studied and applied as an effective technical means. This article studies... With the continuous increase in car ownership, traffic safety issues are receiving increasing attention from people. Many car manufacturers and research institutions have developed various car safety driving systems to improve driving safety. Among them, the automotive safety driving reference system based on fuzzy decision trees has been widely studied and applied as an effective technical means. This article studies the application analysis of a vehicle safety driving reference system based on fuzzy decision trees. This system utilizes a fuzzy decision tree algorithm to identify and evaluate the driving environment, providing drivers with safe driving suggestions and guidance. This article mainly introduces the system’s design principle, implementation process, and experimental verification results of the system and analyzes the advantages, disadvantages, and practical application value. Read More Read Less

Abstract This article studies the PSO-FSDP clustering problem based on internet propagation. Much data needs to be analyzed and classified in the internet environment to understand better and grasp important information, such as user behavior and market trends. Traditional clustering algorithms often face problems such as low computational efficiency and inaccurate results when dealing with large-scale and high-dimensional data. Through experimental... This article studies the PSO-FSDP clustering problem based on internet propagation. Much data needs to be analyzed and classified in the internet environment to understand better and grasp important information, such as user behavior and market trends. Traditional clustering algorithms often face problems such as low computational efficiency and inaccurate results when dealing with large-scale and high-dimensional data. Through experimental verification, the PSO-FSDP algorithm has higher accuracy and stability when processing large-scale and high-dimensional internet data and has faster computational speed than traditional clustering algorithms. Therefore, the PSO-FSDP algorithm provides an effective method for solving clustering problems in internet propagation and has important theoretical significance and practical value. Read More Read Less

Abstract This article mainly explores the tactical analysis of the attack and defense stages of volleyball training based on a decision tree algorithm. By constructing a decision tree model, various tactics in the attack and defense stages of serve are classified and predicted, providing more effective training suggestions and guidance for coaches and athletes. Taking a volleyball team as an example,... This article mainly explores the tactical analysis of the attack and defense stages of volleyball training based on a decision tree algorithm. By constructing a decision tree model, various tactics in the attack and defense stages of serve are classified and predicted, providing more effective training suggestions and guidance for coaches and athletes. Taking a volleyball team as an example, this model was used to analyze the training data of its serve attack and defense links. By constructing a decision tree model, it was found that the team had some problems in the attack and defense stages of serving, such as the need to improve the serving speed and accuracy, and the need to improve the reaction speed and judgment ability when receiving the serve. In response to these issues, the model provides corresponding training suggestions and guidance, providing strong support for the team to further improve the level of serve attack and defense. Read More Read Less