UDC 004.891.2

THE DEVELOPMENT OF INTELLIGENT TOOLS FOR MONITORING RAW MATERIAL QUALITY INDICATORS IN THE SUGAR INDUSTRY

Asadullayev Rustam Gennadievich1, Reznichenko Darya Aleksandrovna2
1Belgorod National Research University, associate professor of the department of applied informatics and information technologies
2Belgorod National Research University, Master's 1st year, Institute of Engineering Technology and Natural Sciences

Abstract
This article presents a formal description of the process of quality assessment of sugar beets, the factors affecting the level of storage of materials. Developed a unique knowledge base that forms the conclusion about the future storage of materials, taking into account the 8 factors of evaluating the quality of the feedstock. The logical inference mechanism based on the use of fuzzy sets. The knowledge base contains rules 246.

Keywords: fuzzy logic., intellectual means, knowledge base, sugar industry


Article reference:
The development of intelligent tools for monitoring raw material quality indicators in the sugar industry // Economics and innovations management. 2016. № 11 [Electronic journal]. URL: https://ekonomika.snauka.ru/en/2016/11/12983

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