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Preprints of the Keldysh Institute of Applied Mathematics, 2022, 034, 16 pp.
DOI: https://doi.org/10.20948/prepr-2022-34
(Mi ipmp3060)
 

On modeling the development of the region in conditions of high uncertainty and lack of data

Yu. G. Rykov
References:
Abstract: The preprint is an example of the practical implementation of a modified modeling methodology using fuzzy cognitive maps, which was presented by the author earlier in the publication in "M.V. Keldysh IPM Preprints". A variant of the model of the development of the RF region in conditions of high uncertainty of the external environment and with a lack of initial data is described. This situation is typical, for example, for the moments of the outbreak of epidemics or conflict confrontation.
Keywords: complex system, cognitive simulation, weighted digraph, viral epidemic, the development of the region, the influence of factors.
Funding agency Grant number
Russian Foundation for Basic Research 20-51-80002
Document Type: Preprint
Language: Russian
Citation: Yu. G. Rykov, “On modeling the development of the region in conditions of high uncertainty and lack of data”, Keldysh Institute preprints, 2022, 034, 16 pp.
Citation in format AMSBIB
\Bibitem{Ryk22}
\by Yu.~G.~Rykov
\paper On modeling the development of the region in conditions of high uncertainty and lack of data
\jour Keldysh Institute preprints
\yr 2022
\papernumber 034
\totalpages 16
\mathnet{http://mi.mathnet.ru/ipmp3060}
\crossref{https://doi.org/10.20948/prepr-2022-34}
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  • https://www.mathnet.ru/eng/ipmp/y2022/p34
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    Препринты Института прикладной математики им. М. В. Келдыша РАН
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