【摘要】 为了生成针对不同用户个体的个性化科学运动方案，一个基于模糊Petri网的个性化运动方案智能生成方法被提出。该方法遵循FITT(Frequency-Intensity-Time-Type)原则，依据大规模运动知识构造运动类型、运动时间、运动频率以及运动强度模糊Petri网，结合个体的个性化信息，以矩阵运算形式进行智能推理。首先推理生成个性化运动类型，在此基础上进一步推理个性化的运动时间、频率和强度，然后基于个体意愿对不同运动类型的运动方案进行组合，最终形成一套完备且可操作性高的个性化运动方案。更多还原

【Abstract】 An intelligent generation mechanism based on fuzzy Petri nets is proposed in order to provide a scientific personalized exercise scheme for different users based on their health information. Following the FITT(frequency-intensity-time-type) principle, this method constructs fuzzy Petri nets of exercise frequency, intensity, time, and type respectively based on the large-scale exercise knowledge, and makes intelligent reasoning in the form of matrix operation combining with individual personalized information. First, the personalized exercise type is generated by reasoning, based on which the exercise time, intensity, and frequency are also reasoned. Then, different exercise schemes are combined based on the will of the user. Finally, a complete and operable personalized exercise scheme is formed.更多还原