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undergraduate thesis
Primjena neizrazite logike u dijetoterapiji - prednosti primjene
Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology, 2012. urn:nbn:hr:159:437409
Coce, Marina
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

Cite this document

Coce, M. (2012). Primjena neizrazite logike u dijetoterapiji - prednosti primjene (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology. Retrieved from https://urn.nsk.hr/urn:nbn:hr:159:437409

Coce, Marina. "Primjena neizrazite logike u dijetoterapiji - prednosti primjene." Undergraduate thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, 2012. https://urn.nsk.hr/urn:nbn:hr:159:437409

Coce, Marina. "Primjena neizrazite logike u dijetoterapiji - prednosti primjene." Undergraduate thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, 2012. https://urn.nsk.hr/urn:nbn:hr:159:437409

Coce, M. (2012). 'Primjena neizrazite logike u dijetoterapiji - prednosti primjene', Undergraduate thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, accessed 14 March 2025, https://urn.nsk.hr/urn:nbn:hr:159:437409

Coce M. Primjena neizrazite logike u dijetoterapiji - prednosti primjene [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology; 2012 [cited 2025 March 14] Available at: https://urn.nsk.hr/urn:nbn:hr:159:437409

M. Coce, "Primjena neizrazite logike u dijetoterapiji - prednosti primjene", Undergraduate thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, Zagreb, 2012. Available at: https://urn.nsk.hr/urn:nbn:hr:159:437409

Metadata
TitlePrimjena neizrazite logike u dijetoterapiji - prednosti primjene
Title (english)Use of fuzzy logic approach in Diet therapy - advantage of its use
AuthorMarina Coce
MentorJasenka Gajdoš Kljusurić (mentor)
GranterUniversity of Zagreb
Faculty of Food Technology and Biotechnology
(Department of Process Engineering)
(Laboratory for Measurement, Regulation and Automatisation)
Zagreb
Defense date and country2012-06-13, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Nutrition
Abstract
Neizrazita logika je dio teorije umjetne inteligencije te koristi niz neizrazitih varijabli koje su definirane funkcijama pripadnosti i izvedbenim pravilima. U ovom radu neizrazita logika je ciljano korištena za planiranje dnevnih jelovnika prema smjernicama DASH dijete kako bi se odredila adekvatnost zasebnih dnevnih kombinacija (jela/jelovnika) koje su nutritivno prihvatljive. Neizrazitost je dekodirana u izrazitu vrijednost pomoću Prerow značajke (PV vrijednosti) pomoću koje se provodi... More defuzifikacija, kojom se procjenjuje energetska i nutritivna prihvatljivost ponude. Rezultati analize jelovnika su pokazali kako sve dnevne kombinacije nisu postigle poželjnu PV vrijednost od minimalno 0,7, što je granica prihvaćanja dnevne ponude. Rezultat optimiranja, primjenom neizrazite logike, je skup kombinacija čiji je PV>0,7 (65 % prihvatljivih kombinacija), dok 35 % kombinacije treba izbjegavati zbog neadekvatnog nutritivnog unosa. Rezultati rada pokazuju korisnost primjene neizrazite logike u analizi i/ili planiranju nutiritivnog unosa te također može biti korišten u edukativne svrhe u borbi s pretilošću. Less
Abstract (english)
Fuzzy logic is a part of mathematical theories of artificial intelligence and uses a collection of fuzzy variables defined by membership functions and inference rules. In this paper, fuzzy logic was used to plan daily menus according to the guidelines of the DASH diet in order to determine the adequacy of daily meals and determine which daily meals are nutritionally acceptable. Fuzziness was decoded using Prerow value (PV), which assesses the acceptability or unacceptability of a menu... More offer. Analysis results show that not all combination have reached the limit value of PV>0.7, what was an indicator of acceptance of a daily offer. The final result of the implemented optimisation was a set of daily menus, of which 65 % are nutritional acceptable. The main conclusion is that the application of fuzzy logic, intended for menu analysis and / or menu planning is a powerful tool and could be used as education tool in the efforts to overcome obesity. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:159:437409
Study programmeTitle: Nutrition
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) nutricionizma (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) nutricionizma)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2017-05-15 10:49:45
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