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.
Highlights
The fashion industry, the enormous potential of the perfumery and cosmetics industry and the ideology of modern society, requiring a young and healthy appearance from a person, encourage people to use various cosmetic products
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, providing automatization of the decision-making process
Summary
The fashion industry, the enormous potential of the perfumery and cosmetics industry and the ideology of modern society, requiring a young and healthy appearance from a person, encourage people to use various cosmetic products. 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 self-learning and selfadjustment of the developed system when changing final product characteristics. The “knowledge base” block is used for data storage, providing rules of interaction of various models (i.e. quality assessment of the final cosmetic product using the estimation results provided for ingredients), verification of existing knowledge, and for generation the new ones. 4. Mathematical apparatus for cosmetic products quality assessment In order to provide decision-support of quality control tasks, i.e. choosing the optimal solution based on the previous experience and rational analysis of all available data about the object under consideration, the instruments that implement human intelligence function are needed. In the Table below the example of cosmetic product quality control results is provided
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