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On modeling the development of the region in conditions of high uncertainty and lack of data
Yu. G. Rykov
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.
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.
Linking options:
https://www.mathnet.ru/eng/ipmp3060 https://www.mathnet.ru/eng/ipmp/y2022/p34
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