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master's thesis
Primjena neizrazite logike u dijetoterapiji šećerne bolesti
Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology, 2022. urn:nbn:hr:159:713130
Barišić, Ana
University of Zagreb
Faculty of Food Technology and Biotechnology
Department of Process Engineering
Laboratory for Measurement, Regulation and Automatisation

Institutional repository: Repository of the Faculty of Food Technology and Biotechnology

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Barišić, A. (2022). Primjena neizrazite logike u dijetoterapiji šećerne bolesti (Master's thesis). Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology. Retrieved from https://urn.nsk.hr/urn:nbn:hr:159:713130

Barišić, Ana. "Primjena neizrazite logike u dijetoterapiji šećerne bolesti." Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, 2022. https://urn.nsk.hr/urn:nbn:hr:159:713130

Barišić, Ana. "Primjena neizrazite logike u dijetoterapiji šećerne bolesti." Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, 2022. https://urn.nsk.hr/urn:nbn:hr:159:713130

Barišić, A. (2022). 'Primjena neizrazite logike u dijetoterapiji šećerne bolesti', Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, accessed 10 May 2024, https://urn.nsk.hr/urn:nbn:hr:159:713130

Barišić A. Primjena neizrazite logike u dijetoterapiji šećerne bolesti [Master's thesis]. Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology; 2022 [cited 2024 May 10] Available at: https://urn.nsk.hr/urn:nbn:hr:159:713130

A. Barišić, "Primjena neizrazite logike u dijetoterapiji šećerne bolesti", Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:159:713130

Metadata
TitlePrimjena neizrazite logike u dijetoterapiji šećerne bolesti
Title (english)Application of fuzzy logic in dietotherapy of diabetes
AuthorAna Barišić
MentorJasenka Gajdoš Kljusurić (mentor)
Committee memberInes Panjkota-Krbavčić (predsjednik povjerenstva)
Committee memberJasenka Gajdoš Kljusurić (član povjerenstva)
Committee memberAna Jurinjak Tušek (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Food Technology and Biotechnology
(Department of Process Engineering)
(Laboratory for Measurement, Regulation and Automatisation)
Zagreb
Defense date and country2022-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Nutrition
Abstract
Porast broja oboljelih od šećerne bolesti potiče stručnjake na traženje načina prevencije i/ili smanjenja posljedica ove bolesti. Neizrazita logika jedan je od alata koji se koristi definiranjem funkcija pripadnosti i izvedbenim pravilima. U ovom radu neizrazita logika je korištena za optimiranje i planiranje dnevnih jelovnika prema smjernicama dijabetičke dijete kako bi se odredila nutritivna prihvatljivost dnevnih kombinacija. Neizrazitost je dekodirana u izrazitu vrijednost pomoću Prerow značajke (PV vrijednosti), kojom se provodi defuzifikacija te procjenjuje energetska/nutritivna prihvatljivost ponude. Rezultati analize dostupnih jelovnika pokazali su kako ni jedna dnevna kombinacija nije postigla poželjnu PV vrijednost od minimalno 0,7. Rezultat optimiranja je skup kombinacija čiji je PV >0,7 (4 tj. 0,0015 % kombinacija), a bez vitamina D, koji je kritični nutrijent, je 1181 tj. 0,5% kombinacija. Rezultati rada pokazuju korisnost primjene neizrazite logike u analizi i/ili planiranju nutritivnog unosa. Međutim, nutricionist u konačnici procjenjuje primjenjivost i usklađenost jelovnika sa potrebama svakog pojedinog korisnika.
Abstract (english)
The growing number of people suffering from diabetes encourages experts to look for ways to prevent and/or reduce the consequences of this disease. Fuzzy logic is one of the tools used in defining membership functions and execution rules. Fuzzy logic uses a collection of fuzzy variables defined by membership functions and interface rules. In this paper fuzzy logic was used to optimize and plan daily menus according to the guidelines of the diabetic diet to determine which daily meals are nutritionally acceptable. Fuzziness was decoded using Prerow value (PV), which assesses energy/nutritional acceptability of the offer. Results of the analysis of the available menus showed that no daily combination achieved preferred PV value of at least 0,7. The result of the implemented optimization is a set of daily menus, of which 4 (0,0015%) are nutritionally acceptable and without vitamin D, which is a critical nutrient, is 1181 (0,5%) combinations of daily menus. The main conclusion is that the application of fuzzy logic is useful for analysis and/or planning nutrition intake. However, ultimately the nutritionist will assess applicability and compliance of menu with the needs of each individual user.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:159:713130
Study programmeTitle: Nutrition
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra nutricionizma (magistar/magistra nutricionizma)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0) icon
Created on2023-03-01 13:34:20