Development of object state estimation method in intelligent decision support systems

Authors

DOI:

https://doi.org/10.15587/1729-4061.2021.239854

Keywords:

decision support systems, artificial neural networks, genetic algorithm

Abstract

A method of object state estimation in intelligent decision support systems (DSS) has been developed. The essence of the method is to ensure a high-quality analysis of the current state of the analyzed object. The key difference of the developed method is the use of an advanced genetic algorithm. The advanced genetic algorithm is used when constructing a fuzzy cognitive model and increases the efficiency of identifying factors and relationships between them by simultaneously finding a solution by several individuals. The objective and complete analysis is achieved using advanced fuzzy temporal models of the object state, taking into account the type of uncertainty and noise of initial data. The method also contains an improved procedure for processing initial data under a priori uncertainty, an improved procedure for training artificial neural networks and an improved procedure for topological analysis of the structure of fuzzy cognitive models. The essence of the training procedure is the training of synaptic weights of the artificial neural network, the type and parameters of the membership function, as well as the architecture of individual elements and the architecture of the artificial neural network as a whole. The method increases the efficiency of data processing at the level of 11–15 % using additional advanced procedures. The proposed method can be used in DSS of automated control systems (artillery units, special-purpose geographic information systems). It can also be used in DSS for aviation and air defense ACS, as well as in DSS for logistics ACS of the Armed Forces

Author Biographies

Vitalii Bezuhlyi, The National Defence University of Ukraine named after Ivan Cherniakhovsky

Adjunct

Department of Management of Troops (Forces) in Peace

Volodymyr Oliynyk, The National Defence University of Ukraine named after Ivan Cherniakhovsky

Adjunct

Department of Airborne Troops and Special Forces

Іgor Romanenko, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine Povitroflotskyi ave.,

Doctor of Technical Sciences, Professor, Leading Researcher

Scientific Research Department

Oleksandr Zhuk, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Doctor of Technical Sciences, Associate Professor, Head of Department

Department of Information Security in Telecommunication Systems and Networks

Vasyl Kuzavkov, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Doctor of Technical Sciences, Associate Professor, Head of Department

Department of Construction of Telecommunication Systems

Oleh Borysov, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

PhD, Senior Lecturer

Department of Construction of Telecommunication Systems

Serhii Korobchenko, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine

PhD, Leading Researcher

Research Laboratory for Scientific and Methodological Support of Military-Technical Cooperation

Eduard Ostapchuk, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine

Deputy Head of Research Department

Research Department for the Development of Protection and Survivability of Weapons and Military Equipment

Taras Davydenko, The National Defence University of Ukraine named after Ivan Cherniakhovsky

Associate Professor

Department of Intelligence

Andrii Shyshatskyi, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine

PhD, Senior Researcher

Research Department of Electronic Warfare Development

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Published

2021-10-31

How to Cite

Bezuhlyi, V., Oliynyk, V., Romanenko І., Zhuk, O., Kuzavkov, V., Borysov, O., Korobchenko, S., Ostapchuk, E., Davydenko, T., & Shyshatskyi, A. (2021). Development of object state estimation method in intelligent decision support systems. Eastern-European Journal of Enterprise Technologies, 5(3 (113), 54–64. https://doi.org/10.15587/1729-4061.2021.239854

Issue

Vol. 5 No. 3 (113) (2021): Control processes

Section

Control processes

License

Copyright (c) 2021 Vitalii Bezuhlyi, Volodymyr Oliynyk, Іgor Romanenko, Oleksandr Zhuk, Vasyl Kuzavkov, Oleh Borysov, Serhii Korobchenko, Eduard Ostapchuk, Taras Davydenko, Andrii Shyshatskyi

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