FML-based Japanese diet assessment system

This paper presents a Fuzzy Markup Language (FML)-based Japanese diet assessment system and applies it to Japanese diet. Food Exchange List (FEL), published by Japan Diabetes Society, is adopted as a standard to assess one person´s diet healthy level to help him/her eat a wide variety of foods and drinks to balance the eaten food items and physical activity. FML is used to describe the knowledge base and rule base of the diet domain. The dietician first defines the nutrient facts of the collected food from food guidebook and Internet. Then, the involved subject records his/her personal information and daily meals for a constant period. Based on the predefined Japanese food ontology, including ingredients of each food item and the contained units of each food group, the proposed fuzzy inference mechanism is implemented to infer the possibility of dietary healthy level for one-day meal. From the simulation results, the proposed approach is feasible to apply to Japanese diet assessment.