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Modelling and Data Analysis
2020. Vol. 10, no. 2, 93–101
https://doi.org/10.17759/mda.2020100207
ISSN: 2219-3758 / 2311-9454 (online)

Iterative Filling and Updating of Information When Managing a Hierarchical Database

 
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Abstract

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.

General Information

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

Journal rubric: Software

OpenAlex citations: 0

OpenAlex trends: Advanced Data Processing Techniques, Statistical and Computational Modeling, Mathematical Control Systems and Analysis

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Number of citations: 0

Topics

Advanced Data Processing Techniques

This cluster of papers focuses on the modeling and control of multidimensional systems, with an emphasis on redundant transmission, fuzzy controller adaptation, fault tolerance, real-time systems, and energy efficiency in various domains such as cyber-physical systems, network traffic analysis, and industrial automation.

Number of works: 60256  |  Total number of citations: 206829

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Statistical and Computational Modeling

This cluster of papers focuses on the application of inductive modeling techniques, particularly GMDH-type neural networks and interval models, in various scientific research domains. The papers cover topics such as environmental monitoring, modeling and prediction of complex processes, application of machine learning algorithms, and the use of self-organization techniques. The overarching theme revolves around the utilization of advanced computational methods for sustainable development and scientific analysis.

Number of works: 23498  |  Total number of citations: 170936

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Mathematical Control Systems and Analysis

This cluster of papers focuses on the application of fuzzy computing, intelligent systems, and soft computing techniques in various domains such as decision support systems, reconfigurable computing, green computing, IoT, and safety-critical systems. It also explores the use of artificial neural networks and machine learning in these contexts.

Number of works: 16245  |  Total number of citations: 70405

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Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2020100207

Published

For citation: Korotkova, T.I., Mokhov, A.A. (2020). Iterative Filling and Updating of Information When Managing a Hierarchical Database. Modelling and Data Analysis, 10(2), 93–101. (In Russ.). https://doi.org/10.17759/mda.2020100207

© Korotkova T.I., Mokhov A.A., 2020

License: CC BY-NC 4.0

References

  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.
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  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
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Information About the Authors

Tatyana I. Korotkova, Doctor of Physics and Matematics, Professor, Professor of the Department of Mathematical Cybernetics, Faculty of Information Technology and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-6325-2684, e-mail: tatyanamail11@yandex.ru

Anatoly A. Mokhov, Magister in Physics and Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-5504-3820, e-mail: mohov25@gmail.com

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