Choice of weapon sample based on fuzzy logic in defense management measures

  • Mykola Bilokur Central Research Institute of Armaments and Military Equipment Armed Forces of Ukraine https://orcid.org/0000-0002-2954-8497
  • Evgen Sidorenko Central Armored Armaments Directorate of the Logistics Forces Command of the Armed Forces of Ukraine
  • Valeriy Khrebet Command of the Air Assault Forces of the Armed Forces of Ukraine
  • Ivan Gomola Logistics of Operational Command "West"
  • Viktor Hudyma The National Defence University of Ukraine named after Ivan Cherniakhovskyi https://orcid.org/0000-0003-4722-0601
  • Sergii Kopashynski The National Defence University of Ukraine named after Ivan Cherniakhovskyi https://orcid.org/0000-0001-8607-1309
DOI: https://doi.org/10.33445/sds.2020.10.6.8
Keywords: weapon model, improvement of the planning procedure, properties of weapons and military equipment samples during its assessment, the cost of the stages of the life cycle of weapons and military equipment samples

Abstract

The possibility of improving the capability-based planning process is being investigated in order to minimize the need for weapons and military equipment and to maximize the acquisition of capabilities during their life cycle. Using the theory of fuzzy sets, the assessment of alternative samples of weapons and military equipment is carried out. A fuzzy inference model for determining the usefulness of weapons and military equipment in acquiring opportunities has been developed, based on fuzzy logic. The modeling of alternative models of weapons and military equipment was carried out in terms of costs at the stages of the life cycle “Use” and “Support” using the modern software environment MATLAB. The simulation results provided an opportunity at the planning stage to improve the efficiency of defense resource management using the value of the usefulness of weapons and military equipment. The introduction of the developed model into defense management makes it possible to automatically determine weapons and military equipment without the participation of experts, taking into account the cost of their life cycle and to bring the planning process closer to Euro-Atlantic approaches.

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Author Biographies

Mykola Bilokur , Central Research Institute of Armaments and Military Equipment Armed Forces of Ukraine

PhD student

Evgen Sidorenko , Central Armored Armaments Directorate of the Logistics Forces Command of the Armed Forces of Ukraine

deputy head of department

Viktor Hudyma, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD in Engineering Science, Lecturer at the Department of Technical Support of the Institute for Support of Troops (forces) and Information Technologies

Sergii Kopashynski, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD, Senior Research Fellow, Head of the Department of Technical Support

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Published
2020-12-31
How to Cite
Bilokur , M., Sidorenko , E., Khrebet, V., Gomola, I., Hudyma, V., & Kopashynski, S. (2020). Choice of weapon sample based on fuzzy logic in defense management measures. Social Development and Security, 10(6), 78-92. https://doi.org/10.33445/sds.2020.10.6.8
Issue
Vol. 10 No. 6 (2020)
Section
Articles

Copyright (c) 2020 Mykola Bilokur, Evgen Sidorenko, Valeriy Khrebet, Ivan Gomola, Viktor Hudyma, Sergii Kopashynski

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