Identification of raw materials for the production of vodkas based on the results of gas-liquid chromatographic analysis with the use of fuzzy logic

Autor:	V. N. Reshetnikova, E. A. Filatova, Vladimir V. Kuznetsov
Rok vydání:	2007
Předmět:	Identification (information) Chromatography business.industry Chemistry Production (economics) Raw material Process engineering business Fuzzy logic Gas liquid chromatographic Analytical Chemistry
Zdroj:	Journal of Analytical Chemistry. 62:1013-1016
ISSN:	1608-3199 1061-9348
DOI:	10.1134/s1061934807110020
Popis:	The concepts of fuzzy logic were applied to the analysis of gas-chromatographic data for 12 samples of Russian vodka products. It was found that, with the use of the truth degrees of fuzzy logic propositions on the composition of analytical samples based on a simulation of expert’s reasoning, the grade of raw materials used for the production of the analytical samples can be supposed and the conformity with standards can be established.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::784cb401e6927da7e7a9d3a4c862d050 https://doi.org/10.1134/s1061934807110020 Zobrazit plný text záznamu Plný text ve formátu PDF