Naslov
Fuzzy logic based menu planning in prevention and treatment of hypertension

Autori
Gajdoš Kljusurić, Jasenka ; Rumora, Ivana ; Magdić, Damir ; Kurtanjek, Želimir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 7th International Congress of Food Technologists, Biotechnologists and Nutritionists / Medić, Helga - Zagreb, 2011, 58-62

ISBN
978-953-99725-4-5

Skup
7th International Congress of Food Technologists, Biotechnologists and Nutritionists

Mjesto i datum
Opatija, Hrvatska, 20.09.2011. - 23.09.2011

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Optimisation; Fuzzy logic; menu planning; DASH

Sažetak
Fuzzy sets are used to represent the inherent imprecision and fuzziness of food quantities and nutrient values as well as to model the gradual boundaries of the daily recommended values associated with each nutrient. Knowing that cardiovascular diseases are considered as one of the leading causes of today mortality, espe¬cially for men aged 31-50 years, who conducted low active way of life with a diet that is mainly consumption of ready to eat or fast food, and that small interventions in the nourishment can achieve significant positive impact, fuzzy approach was used to plan daily menus. DASH diet as a lifestyle was proven as a good treat¬ment in the prevention of height blood pressure for the high-risk population, correcting inadequate nutri¬tion. The principles of fuzzy logic were used in the analysis and optimization process, based on developed membership functions for nutrients and food groups, for the target population of men aged 31-50 years, according to guidelines that are outlined in the treatment of hypertension (DASH guidelines). The algorithm used in the analysis and optimization is written in the programming system W.R. Mathematica v.6. The final result of the optimisation process is a set of daily menus, 65% of which are nutritional acceptable. The accept¬able daily combinations can be used in healthy meal planning and in prevention and treatment of hyperten¬sion, changing nutritional habits according DASH guidelines. This would also help to avoid consumption of unacceptable daily offers (almost 35%) from the set. The results indicated that use of fuzzy logic is well suited to deal with the inherent imprecision of data associated with food quantities and their nutrient values, and to propagate it through computations in a mathematical way with a great applicability in diet planning as well as in the demanding cases as DASH diet planning.

Izvorni jezik
Engleski

Znanstvena područja
Prehrambena tehnologija

POVEZANOST RADA