基于模糊Petri网的个性化健康饮食方案智能生成

Intelligent generalization of personalized healthy diet solution based on fuzzy Petri nets

为了提供结合身体健康状态和外部环境特点的个性化健康饮食方案,提出了基于模糊Petri网的方案智能生成方法。以用户的基本信息、健康状态、外部环境信息等已知事实为输入,依据大规模健康饮食知识转换而来的模糊Petri网,采用矩阵运算的形式化并行推理,得到用户个性化的每日适宜饮食和禁忌饮食。该方法已应用于自主研发的个性化健康饮食方案推荐系统,用户测试表明该方法能够准确地为用户推荐适合当日情况的个性化健康饮食方案。

In order to provide personalized healthy diet solutions based on unique health status and paper proposed an intelligent generation mechanism based on fuzzy Petri nets. Major inputs were basic information andstatus of users,as well as external environmental information. This model adopted paral lel reasoning using matrix calculatioget users’ personalized appropriate and taboo food based on fuzzy Petri nets transformed from large-scale o f healthcare know-ledge. Personalized healthy diet recommendation system has already adopted this mechanism and according to user tests,itisable to accurately recommend daily personalized healthy diet solutions for different users.