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Mathematical Models, Algorithms and Software Package for the National Security State of Russia

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Recent Research in Control Engineering and Decision Making (ICIT 2019)

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 199))

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Abstract

Mathematical model to determine and predict the main characteristics of the national security of the Russian Federation is developed in the article. A system-dynamic approach is used to develop a predictive mathematical model. To characterize the state of national security the Decree of the President of the Russian Federation identifies the main indicators of national security: citizens ‘satisfaction with the degree of protection of their constitutional rights and freedoms (expert evaluation of sociological surveys); the share of modern weapons, military and special equipment in the Armed Forces of the Russian Federation (% of modern funds in the existing weapons park in the Russian Federation); life expectancy at birth (years); gross domestic product per capita (RUB.); decile coefficient; inflation rate (%)-average annual growth of prices in the country; unemployment rate (%); share of expenditures in gross domestic product for the development of science, technology and education (%); share of expenditures in gross domestic product for culture (%); share of the territory of the Russian Federation that does not meet environmental standards (%). The heuristic algorithm is offered and the computer program for modeling and forecasting of the main characteristics of national security is formed. The results of computational experiments with the developed model, algorithm and software are presented. The method of application for the developed mathematical software for the system of supporting of management decision-making is presented. On ILC the main stages of decision-making to analyze the state of national security of the country at different time intervals using the calculated values of the characteristics of national security are shown. Mathematical software presented in the article is used to analyze the state of the national security of the country and to predict the main indicators of national security of Russia.

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Author information

Authors and Affiliations

  1. Balakovo Branch, Russian Presidential Academy of National Economy and Public Administration, 107, Chapaeva Str., Balakovo, 413865, Russia

    Natalya Yandybaeva

  2. Institute of Precision Mechanics and Control, Russian Academy of Sciences, Rabochaya Str., 24, Saratov, 410028, Russia

    Alexander Rezchikov, Vadim Kushnikov & Vladimir Ivaschenko

  3. Yuri Gagarin State Technical University, 77, Polytechnic Str., Saratov, 410054, Russia

    Vadim Kushnikov & Oleg Kushnikov

  4. Institute of Control Problems, Russian Academy of Science, 65, Profsouznaya Ave., Moscow, 117997, Russia

    Anatoly Tsvirkun

Authors
  1. Natalya Yandybaeva
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  2. Alexander Rezchikov
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  3. Vadim Kushnikov
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  4. Vladimir Ivaschenko
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  5. Oleg Kushnikov
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  6. Anatoly Tsvirkun
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Corresponding author

Correspondence to Natalya Yandybaeva .

Editor information

Editors and Affiliations

  1. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Olga Dolinina

  2. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Alexander Brovko

  3. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Vitaly Pechenkin

  4. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Alexey Lvov

  5. Department of Automation, Novosibirsk State Technical University, Novosibirsk, Russia

    Vadim Zhmud

  6. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Vladik Kreinovich

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Yandybaeva, N., Rezchikov, A., Kushnikov, V., Ivaschenko, V., Kushnikov, O., Tsvirkun, A. (2019). Mathematical Models, Algorithms and Software Package for the National Security State of Russia. In: Dolinina, O., Brovko, A., Pechenkin, V., Lvov, A., Zhmud, V., Kreinovich, V. (eds) Recent Research in Control Engineering and Decision Making. ICIT 2019. Studies in Systems, Decision and Control, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-030-12072-6_52

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