On the formation of soft norms for evaluating the functioning of complex systems
https://doi.org/10.22405/2226-8383-2024-25-3-351-358
Abstract
The method for the formation of soft norms for complex systems operating under conditions
of uncertainty is presented, based on the methodology of Bayesian intelligent measurements
within the framework of the regularizing Bayesian approach. The implementation of the method is demonstrated using the example of agriculture in the Tula region.
About the Authors
Roman Aleksandrovich Zhukov
Financial University under the Government of the Russian Federation (Tula Branch)
Russian Federation
Russian Federation
doctor of economic sciences, candidate of physical and mathematical sciences
Svetlana Vasilyevna Prokopchina
Financial University under the Government of the Russian Federation
Russian Federation
Russian Federation
doctor of technical sciences
References
1. Andreev, A. V. 2018, “Theoretical foundations of reliability of technical systems”, St. Petersburg, Publishing House of the Polytechnic University, 164 p.
2. Matushkina, I. Y., Onishchenko L. A. 2018, “Technical regulation: technical regulations and standardization: a textbook”, Yekaterinburg, Ural University Publishing House,, 208 p.
3. Belik, A. G. 2018, “Quality and reliability of software systems: textbook”, Omsk, Publishing House of OmSTU, 80 p.
4. Mezenina, O. B. 2023, “Economics of environmental management: economic efficiency of environmental protection costs of an industrial enterprise: a textbook”, Yekaterinburg, UGLTU, 88 p.
5. Zhukov, R., Kuznetsov, G., Manokhin, E., Gorodnichev, S., Plinskaya, M. 2023, “Balanced functioning of socio-economic systems: regional perspective”, Journal of Law and Sustainable Development, vol. 11, no. 12, pp. e1922.
6. Prokopchina, S. V. 2021, “Fundamentals of the theory of scaling in economics: textbook”, M., Publishing house “SCIENTIFIC LIBRARY”, 272 p.
7. Prokopchina, S. V. 2021, “Bayesian intellectual measurements”, M., Publishing house “SCIENTIFIC LIBRARY”, 495 p.
8. Prokopchina, S. V. 2020, “Bayesian intelligent technologies in problems of modeling the
9. distribution law under uncertainty: monograph”, M., Publishing house “SCIENTIFIC LIBRARY”, 292 p.
10. Zhukov R. A. 2020, “An approach to assessing the functioning of hierarchical socio-economic systems and decision-making based on the EFRA software package”, Business Informatics, vol. 14, no. 3, pp. 82-95.
11. Zhukov, R. А., Kozlova, N.O. 2022, “On the probability distribution densities of an aggregated random variable for evaluating the functioning of complex systems: a three-dimensional case”, Chebyshevskii Sbornik, vol. 23, no. 3 (84), pp. 255-261.
12. Zhukov, R. A., Kozlova, N. O., Manokhin, E. V., Myasnikova, E. B., Melay, E. A. 2023,
13. “Multi-criteria optimization as the methodology of ensuring sustainable development of regions: Tula region of the Russian Federation”, International Journal of Sustainable Development and Planning, vol. 18, no. 4, pp. 1057-1068.
14. Federal State Statistics Service of the Russian Federation. URL: https://gks.ru.
15. Rating of socio-economic development of regions in 2022.
16. URL: https://realnoevremya.ru/attachments/1760.
17. Zhukov, R. A., Plinskaya, M. A., Manokhin, E. V. 2023, “Assessment of the Regions Functioning Based on Production Functions with the Above Cost Factors”, Journal of Applied Economic Research, vol. 22, no. 3, pp. 657–682.
18. Zhukov R.A., Prokopchina S.V. The Infoanalyst 2.0 software package. Certificate of state registration of the computer program No. 2024617544 dated 04/03/2024.
Review
For citations:
Zhukov R.A., Prokopchina S.V. On the formation of soft norms for evaluating the functioning of complex systems. Chebyshevskii Sbornik. 2024;25(3):351-358. (In Russ.) https://doi.org/10.22405/2226-8383-2024-25-3-351-358
Views:
55
Email this article 