Modelling of an automated food quality assessment system based on fuzzy inference

Rybalka, A. I.; Kutsenko, A. S.; Kovalenko, S. V.

Публікація:
Modelling of an automated food quality assessment system based on fuzzy inference

dc.contributor.author	Rybalka, A. I.
dc.contributor.author	Kutsenko, A. S.
dc.contributor.author	Kovalenko, S. V.
dc.date.accessioned	2021-03-04T19:59:24Z
dc.date.available	2021-03-04T19:59:24Z
dc.date.issued	2020
dc.description.abstract	The purpose of this study is to create a methodology for developing an automated system for assessing the quality of food products based on a comprehensive quality indicator and the use of fuzzy logic theory, namely, fuzzy inference. In our opinion, such an approach to quality assessment can reduce the subjective component that has a significant impact on making a final decision. The system, built on a given algorithm, allows us to assess the quality of food products, taking into account the data of laboratory studies on measurable quality indicators and expert opinions on difficult to measure indicators.	uk_UA
dc.identifier.citation	Rybalka A. I. Modelling of an automated food quality assessment system based on fuzzy inference / Kutsenko A. S., Kovalenko S. V., Kovalenko S. M. // VII International Scientific and Technical Conference Metrology, information measuring technologies and systems: theses of reports, 18-19 February 2020.- Kharkov: KHNURE, 2020.- p.73-74.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/14769
dc.language.iso	en	uk_UA
dc.publisher	Харківський національний університет радіоелектроніки	uk_UA
dc.subject	quality of food	uk_UA
dc.subject	quality indicator	uk_UA
dc.subject	fuzzy logic theory	uk_UA
dc.subject	fuzzy inference	uk_UA
dc.title	Modelling of an automated food quality assessment system based on fuzzy inference	uk_UA
dc.type	Thesis	uk_UA
dspace.entity.type	Publication