Please use this identifier to cite or link to this item:
Title: Decision support system for quality management of cosmetic products
Authors: Shabunina, O. V.
Khalyasmaa, A. I.
Korelina, E. V.
Issue Date: 2020
Publisher: Institute of Physics Publishing
Citation: Shabunina O. V. Decision support system for quality management of cosmetic products / O. V. Shabunina, A. I. Khalyasmaa, E. V. Korelina. — DOI 10.1088/1757-899X/836/1/012004 // IOP Conference Series: Materials Science and Engineering. — 2020. — Vol. 1. — Iss. 836. — 12004.
Abstract: The paper describes the structure and the mathematical core of the decision support system developed by the authors for assessing the quality of cosmetic products based on machine learning approaches. The main goal of the study was to improve the system of quality control of cosmetic products, in particular, the quality of perfumes and cosmetics using intelligent methods of data processing, formalization of knowledge and experience of the experts, thus providing automatization of the decision-making process. The practical-oriented goal of the study was to obtain knowledge-supported decisions regarding the quality of the cosmetic products using the developed system of quality assessment based on intelligent methods of data processing, providing the possibility of unsupervised learning and adjustment of the developed system when changing final product characteristics. © Published under licence by IOP Publishing Ltd.
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85085745809
WOS ID: 000562928800004
PURE ID: 13148063
ISSN: 17578981
DOI: 10.1088/1757-899X/836/1/012004
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

Files in This Item:
File Description SizeFormat 
10.1088-1757-899X-836-1-012004.pdf504,7 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.