Estimation of the effect of the combinations of sodium phosphates on hardness of the model processed cheese by fuzzy logics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F11%3A00479326" target="_blank" >RIV/60162694:G42__/11:00479326 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26210/11:PU97250

Výsledek na webu

<a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>

DOI - Digital Object Identifier

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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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

<a href="/cs/project/1M06047" target="_blank" >1M06047: Centrum pro jakost a spolehlivost výroby</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Mendel Journal series

ISSN

1803-3814

e-ISSN

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Svazek periodika

17

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

6

Strana od-do

161-166

Kód UT WoS článku

000302647900026

EID výsledku v databázi Scopus

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