Estimation of the effect of the combinations of sodium phosphates on hardness of the model processed cheese by fuzzy logics
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F11%3A43873718" target="_blank" >RIV/70883521:28110/11:43873718 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Estimation of the effect of the combinations of sodium phosphates on hardness of the model processed cheese by fuzzy logics
Popis výsledku v původním jazyce
The aim of this work was to study the dependence of hardness of processed cheese spreads on the composition of binary mixtures containing disodium hydrogenphosphate, tetrasodium diphosphate, pentasodium triphosphate, and/or sodium salt of polyphosphate using advanced statistical models. Eleven percentage ratios were applied in each of the 6 types of binary mixtures. The study was focused on finding of suitable models in order to describe the dependence of hardness on the composition of binary mixtures.These models use fuzzy sets - especially as Fuzzy Inference System. Fuzzy inference system is able to identify possible nonlinear dependence between input variables and output variables in process. It can also work with data described in vague terms. Inmixtures of polyphosphate with the other phosphates studied, hardness was increasing with the rising amount of polyphosphates within the mixture. In binary mixtures of monophosphate with diphosphate or triphosphate, a rapid grow in sample
Název v anglickém jazyce
Estimation of the effect of the combinations of sodium phosphates on hardness of the model processed cheese by fuzzy logics
Popis výsledku anglicky
The aim of this work was to study the dependence of hardness of processed cheese spreads on the composition of binary mixtures containing disodium hydrogenphosphate, tetrasodium diphosphate, pentasodium triphosphate, and/or sodium salt of polyphosphate using advanced statistical models. Eleven percentage ratios were applied in each of the 6 types of binary mixtures. The study was focused on finding of suitable models in order to describe the dependence of hardness on the composition of binary mixtures.These models use fuzzy sets - especially as Fuzzy Inference System. Fuzzy inference system is able to identify possible nonlinear dependence between input variables and output variables in process. It can also work with data described in vague terms. Inmixtures of polyphosphate with the other phosphates studied, hardness was increasing with the rising amount of polyphosphates within the mixture. In binary mixtures of monophosphate with diphosphate or triphosphate, a rapid grow in sample
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
BA - Obecná matematika
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2011
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
MENDEL 2011 17th International Conference on Soft Computing
ISBN
978-80-214-4984-8
ISSN
1803-3814
e-ISSN
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Počet stran výsledku
5
Strana od-do
161-165
Název nakladatele
Vysoké učení technické v Brně, Fakulta strojního inženýrství
Místo vydání
Brno
Místo konání akce
Brno
Datum konání akce
15. 6. 2011
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
000302647900026