Russian Psychological Issues
JournalsTopicsAuthorsEditor's Choice For AuthorsAbout PsyJournals.ruContact Us

Previous issue (2020. Vol. 10, no. 2)

Modelling and Data Analysis

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2219-3758

ISSN (online): 2311-9454


License: CC BY-NC 4.0

Started in 2011

Published 4 times a year

Free of fees
Open Access Journal


Iterative Filling and Updating of Information When Managing a Hierarchical Database 13


Korotkova T.I.
Doctor of Physics and Matematics, Professor of the Department of Mathematical Cybernetics, Faculty of Information Technology and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russia

Mokhov A.A.
Magister in Physics and Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russia

The choice of optimal control in complex systems involves handling large amounts of information. The database of such a decision-making system has a hierarchical structure. The article describes the principle of filling and updating information when managing a hierarchical database of a complex system in the presence of uncertain factors. Uncertain factors are present in the criteria for the effectiveness of a complex system and in the criteria for its subsystems. The hierarchical structure of the decision-making system has a level of coordination of decisions of local subsystems. Coordination in a complex system is carried out with a step of discreteness. This allows you to use the iterative principle of filling the database and updating it. Uncertainty conditions significantly increase the amount of information processed. As a result, a hierarchical software package for database management is built.

Keywords: hierarchical database, iterative process, decomposition, uncertain factors, information systems management

Column: Software


For Reference

  1. Minimizatsiya izbytochnoi informatsii v ierarkhicheskoi baze dannykh. [Minimization of redundant information in a hierarchical database]. Korotkova T.I., Luneva S.Yu., Alekseev N.S., Vinogradov V.I., Informatsionnye i telekommunikatsionnye tekhnologii. [Publ. Information and telecommunication technologies], 2018. № 39. pp. 11–19.
  2. Korotkova T.I. Mnogokriterial’nyi algoritm prinyatiya resheniya v sisteme obespecheniya informa-tsionnoi bezopasnosti ob”ektov grazhdanskoi aviatsii. [Multi-criteria decision-making algorithm in the system of information security of objects of civil aviation], Elektronnyi zhurnal «Trudy MAI». [Publ. Electronic journal «Trudy MAI»], 2015. № 84.
  3. Korotkova T.I. Opisanie protsedur programmy operativnogo obnovleniya soderzhaniya INTERNET uchebnikov. [Description of the procedures of the program for the online updating of the content of INTERNET textbooks], Elektronnyi zhurnal «Trudy MAI» [Publ. Electronic journal «Trudy MAI»], 2012. № 49.
  4. Panteleev A.V., Panovskiy V.N. Application of open-source optimization library ”Extremum” to the synthesis of feedback control of a satellite. Advances in Science, Technology and Engineering Systems Journal, 2019. vol. 4, no. 5, pp. 23–29. doi: 10.25046/aj040503
  5. Panteleev A.V., Rybakov K.A. Continuous optimal stochastic control systems with incomplete feedback: Approximate synthesis. Automation and Remote Control, 2018. vol. 79, no. 1, pp. 103–116. doi: 10.1134/S0005117918010095
  6. Korotkova T.I., Kuzmina Y. Decision algorithm with uncertainties in a multi-purpose flight safety system. Cite as: AIP Conference Proceedings 2181, 020004 (2019). URL: (Published Online: 22.11.2019). doi: 10.1063/1.5135664
  7. Russell D., Kohn R. Hierarchical data model / -М., 2013. p. 102.
  8. Karane M., Panteleev A.V. Hybrid multi-agent optimization method of interpolation search. AIP Conference Proceedings, 2019. vol. 2181, id 020028. doi: 10.1063/1.5135688
  9. Panteleev A.V., Panovskiy V.N., Korotkova T.I. Interval explosion search algorithm and its application to hypersonic aircraft modelling and motion optimization. Bulletin of the South Ural State University. Ser. Mathematical Modelling, Programming & Computer Software (Bulletin SUSU MMCS), 2016. vol. 9, no. 3, pp. 55–67. doi: 10.14529/mmp160305
  10. Davtyan L.G., Panteleev A.V. Method of parametric optimization of nonlinear continuous systems of joint estimation and control. Journal of Computer and Systems Sciences International, 2019. vol. 58, no. 3, pp. 360–373. doi: 10.1134/S1064230719030079
  11. Korotkova T.I., Popova V.I. Multicriteria hierarchical iterative interactive algorithm for organizing operational modes of large heat supply systems. Journal of Physics: Conference Series, 2017. vol. 891, article ID 012164. doi: 10.1088/1742–6596/891/1/012164
  12. Alfredo Arias-Montano, Carlos A. Coello Coello, Efren Mezura-Montes. Multi-Objective Evolutionary Algorithms in Aeronautical and Aerospace Engineering. IEEE Transactions on Evolutionary Computation, 2012. № 16 (5), pp. 662–694. doi: 10.1109/TEVC.2011.2169968
  13. Bortakovskii A.S., Nemychenkov G.I. Optimal in the mean control of deterministic switchable systems given discrete inexact measurements. Journal of Computer and Systems Sciences International, 2019. vol. 58, no. 1, pp. 50–74. doi: 10.1134/S1064230719010052

© 2007–2021 Portal of Russian Psychological Publications. All rights reserved in Russian

Publisher: Moscow State University of Psychology and Education

Catalogue of academic journals in psychology & education MSUPE

Creative Commons License Open Access Repository     Webometrics Ranking of Repositories

RSS Psyjournals at facebook Psyjournals at Twitter Psyjournals at Youtube ??????.???????