Vestnik Sankt-Peterburgskogo Universiteta. Seriya 10. Prikladnaya Matematika. Informatika. Protsessy Upravleniya
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Vestnik Sankt-Peterburgskogo Universiteta. Seriya 10. Prikladnaya Matematika. Informatika. Protsessy Upravleniya, 2019, Volume 15, Issue 3, Pages 362–374
DOI: https://doi.org/10.21638/11701/spbu10.2019.306
(Mi vspui414)
 

This article is cited in 1 scientific paper (total in 1 paper)

Computer science

Approach to the problem of strategic management of the regional development based on adaptive simulation model

A. R. Bakhtizina, M. M. Nizamutdinovb, V. V. Oreshnikovb

a Central Economics and Mathematics Institute of the Russian Academy of Sciences, 47, Nakhimovsky pr., Moscow, 117418, Russian Federation
b Institute of Social and Economic Researches of the Ufa Federal Research Centre of the Russian Academy of Sciences, 71, pr. Oktyabrya, Ufa, 450054, Russian Federation
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Abstract: Nowadays, one of the most urgent tasks facing the state authorities in the Russian Federation is to manage the comprehensive development of the regions. The complexity of this subject to management, multidimensionality of existing problems and the inconsistency of the targets in conjunction with the dynamically changing operating conditions require the use of modern methods and tools to forecasting of changes in the key parameters of regional development. The article describes approach to the formation of an adaptive simulation model of regional socio-economic system. This model allows to take into account the behaviour of economic agents in their interaction with each other and the environment. The conceptual scheme of this model is presented. The basic elements of model, including blocks of adaptive behaviour of agents, use of resources and maintenance of balances are revealed. The control subsystem including the goal setting and control blocks is allocated separately. A set of rules governing the activation of a particular block of the model is justified. To implement this task, the adjustment mechanism of the indicative plan is formalized based on fuzzy logic methods. The knowledge base of fuzzy rules for the formation of target indicators for management of the regional system development is developed. At the end of the article the scheme of implementation of information support of regional development management based on the proposed adaptive simulation model of the region is described. In our opinion, the proposed tools which combines the methods of management theory and economic and mathematical methods will improve the efficiency of regional development strategies.
Keywords: strategy of socio-economic development, simulation modelling, adaptation, regional system, fuzzy logic, target indicators, management, decision support system.
Funding agency Grant number
Russian Foundation for Basic Research 18-00-00345 (18-00-00343)
This work was supported by the Russian Foundation for Basic Research (grant N 18-00-00345 (18-00-00343)).
Received: April 2, 2019
Accepted: June 6, 2019
Bibliographic databases:
Document Type: Article
UDC: 332.02
Language: English
Citation: A. R. Bakhtizin, M. M. Nizamutdinov, V. V. Oreshnikov, “Approach to the problem of strategic management of the regional development based on adaptive simulation model”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 15:3 (2019), 362–374
Citation in format AMSBIB
\Bibitem{BahNizOre19}
\by A.~R.~Bakhtizin, M.~M.~Nizamutdinov, V.~V.~Oreshnikov
\paper Approach to the problem of strategic management of the regional development based on adaptive simulation model
\jour Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr.
\yr 2019
\vol 15
\issue 3
\pages 362--374
\mathnet{http://mi.mathnet.ru/vspui414}
\crossref{https://doi.org/10.21638/11701/spbu10.2019.306}
\elib{https://elibrary.ru/item.asp?id=41180259}
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  • https://www.mathnet.ru/eng/vspui/v15/i3/p362
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Вестник Санкт-Петербургского университета. Серия 10. Прикладная математика. Информатика. Процессы управления
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    Abstract page:89
    Full-text PDF :33
    References:14
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