Information Support of Intelligent Decision Support Systems for Managing Complex Organizational and Technical Objects Based on Markov Chains
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Дата
2022
Автори
Sharko, Marharyta
Petrushenko, Natalia
Gonchar, Olga
Vasylenko, Nataliia
Vorobyova, Kateryna
Zakryzhevska, Iryna
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Видавець
Анотація
Management of multilevel organizational and technical systems under the influence of
environmental factors is a complex process that uses both structured and semi-structured data.
For information support of management decisions in such systems, the use of probabilistic
mathematical models based on Markov processes is proposed. In contrast to the traditional use
of Markov chains, it is proposed to replace equal step intervals with a discrete sequence of
states determined by environmental influences. This approach makes it possible to model and
regulate the process of making relevant decisions when managing multi-level organizational
and technical objects and increase its efficiency in difficult operating conditions.
Опис
Ключові слова
information support, intelligent systems, semi-structured problems, control, uncertainty, Markov chains
Бібліографічний опис
Zakryzhevska Iryna Information Support of Intelligent Decision Support Systems for Managing Complex Organizational and Technical Objects Based on Markov Chains / Marharyta Sharko, Natalia Petrushenko, Olga Gonchar, Nataliia Vasylenko, Kateryna Vorobyova, Iryna Zakryzhevska // COLINS-2022: 6th International Conference on Computational Linguistics and Intelligent Systems, May 12–13, 2022, Gliwice, Poland. Режим доступу: https://cutt.ly/iBzcdip (Scopus)