FUZZY LOGIC MODELLING IN NUTRITION PLANNING- APPLICATION ON MEALS IN BOARDING SCHOOLS

Fuzzy logic modelling is applied for modelling and optimisation of nutritional requirements. According to the theory of fuzzy logic, this method is applicable to systems which cannot be precisely defined, such as human nutrient requirements. Fuzzy membership functions are modelled to describe the range of nutrient intakes in the range from deficient to excess amounts. Defined are 23 fuzzy sets: fuzzy set for cost of a daily menu, fuzzy set of preference choice of offered meals and 21 fuzzy sets for amounts of energy and nutrients. Developed is a computer program in Wolfram Research Mathematica for modelling and optimisation of nutrient and energy intake. A measurement of appropriate energy and nutrient intake with a respect to the recommendations, or optimal intake, is evaluated by Prerow value (PV). PV value was used to evaluate the efficiency of meal combinations concerning the daily costs, meal preferences and the amount of energy and nutrients. Presented are experimentally determined deviations of energy and nutrients intakes from the recommendations. Adjustments needed for improvement of nutrition requirements corresponding to linguistic variable were determined by use of fuzzy sets withou