Nutritional Needs Recommendation based on Fuzzy Logic

AbstractPeople have daily optimal energy needs, and most people careless about food's calories suitability for their health, because usually people do not calculate food's calories they want to eat. Fuzzy logic has the ability to model this problem, in the way helping people to calculate suitability between food calories and user's profile. The inference models that are used in this work are TSK to assess daily calories need, and Tsukamoto to assess calorie which is contained in food which has inconsistency in calorie information. The conclusion is that calorie need problem can be modelled using fuzzy inference model and satisfied calorie value range