PROCESSING THE INFORMATION CONTENT ON THE BASIS OF FUZZY NEURAL MODEL OF DECISION MAKING

The article is devoted to the issues of mathematical modeling of the decision-making process of information content processing based on the fuzzy neural network TSK. Integral rating assessment of the content, which is necessary for taking a decision about its further usage, is made depended on varyi...

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Bibliographic Details
Published inСтатистика и экономика no. 5; pp. 188 - 192
Main Authors Nina V. Komleva, Olga A. Khlopkova
Format Journal Article
LanguageRussian
Published Plekhanov Russian University of Economics 01.08.2016
Subjects
assessment rating of content
decision-making support
fuzzy neural network
information environment
intellectualization of data processing
интеллектуализация обработки данных
информационная среда
нечеткая нейронная сеть
поддержка принятия решений
рейтинговая оценка контента
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Summary:The article is devoted to the issues of mathematical modeling of the decision-making process of information content processing based on the fuzzy neural network TSK. Integral rating assessment of the content, which is necessary for taking a decision about its further usage, is made depended on varying characteristics. Mechanism for building individual trajectory and forming individual competence is provided to make the intellectual content search.
ISSN:2500-3925
DOI:10.21686/2500-3925-2013-5-188-192