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Application of Intellectual Methods of Data Analysis to Improve the Quality of Decision Making in Management of Resources for the Information Media System
Author(s) -
K. B. Shabanov,
В. В. Алексеев
Publication year - 2021
Publication title -
vestnik tambovskogo gosudarstvennogo tehnicheskogo universiteta
Language(s) - English
Resource type - Journals
eISSN - 2542-1409
pISSN - 0136-5835
DOI - 10.17277/vestnik.2021.01.pp.014-019
Subject(s) - computer science , relevance (law) , fuzzy logic , quality (philosophy) , automation , data mining , data science , artificial intelligence , knowledge management , management science , engineering , mechanical engineering , philosophy , epistemology , political science , law
In connection with the relevance of data analysis automation, basic data mining methods are considered, such as neural networks, genetic algorithms, and fuzzy logic methods. The essence of these methods and their practical applicability are shown, in particular, methods of fuzzy logic for the problem of improving the quality of decision-making when managing the resources of the information media system.

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