Devising a method for categorizing combat wheeled vehicles using fuzzy cluster analysis

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.324546

Keywords:

wheeled combat vehicle, fuzzy cluster analysis, combat mass, fuzzy c-means algorithm

Abstract

The object of this study is combat wheeled vehicles (CWVs). The task addressed is the categorization of CWVs. The devised CWV categorization method is based on the use of the fuzzy c-means (FCM) algorithm, which determines the centers of fuzzy clusters and their corresponding functions and memberships, which can take values in the interval from 0 to 1. Therefore, the degrees of membership of CWV samples to fuzzy clusters have been determined, which together define the fuzzy division of the initial set of CWV samples. The minimum number of samples required to solve the fuzzy clustering problem by determining the values of the objective function and the magnitude of its increment per sample with a sequential increase in the number of samples is 55 pieces. It has been confirmed that the maximum number of clusters at level 6 satisfies the needs of categorization and does not require their increase due to the presence of individual CWV samples with large degrees of membership in 2-clusters. It has been proven that with a weight parameter value of 1.68, the fuzziness of the membership matrix ensures an average level of membership of samples to 6 clusters at a level of not less than 99 %. The proposed CWV categorization method establishes a correspondence between the technical characteristics of the samples and their functional purpose. This makes it possible to take into account the uncertainties caused by the assignment of samples with intermediate characteristics between groups to one group. The resulting categorization results establish benchmarks to which CWV samples should approach when designing CWV types, which are constructed on the basis of unified units and assemblies. The results of this study could be used to determine CWV samples of the same type under conditions of a significant variety of options for providing units

Author Biographies

Victor Golub, National Defence University of Ukraine

Doctor of Technical Sciences, Professor

Scientific and Testing Department

Serhii Bisyk, National Defence University of Ukraine

Doctor of Technical Sciences, Professor

Scientific and Testing Department

Gennadii Golub, National University of Life and Environmental Sciences of Ukraine

Doctor of Technical Sciences, Professor

Department of Technical Service and Engineering Management named after M. P. Momotenko

Nataliya Tsyvenkova, National University of Life and Environmental Sciences of Ukraine; Polissia National University

PhD, Associate Professor

Department of Technical Service and Engineering Management named after M. P. Momotenko

Department of Electrification, Production Automation and Engineering Ecology

Sviatoslav Sedov, National Defence University of Ukraine

PhD, Senior Researcher

Scientific Research Center

Volodymyr Nadykto, Dmytro Motornyi Tavria State Agrotechnological University

Doctor of Technical Sciences, Professor

Department of Machine Operation and Technical Service

Oleh Marus, National University of Life and Environmental Sciences of Ukraine

PhD, Associate Professor

Department of Technical Service and Engineering Management named after M. P. Momotenko

Yaroslav Yarosh, Institute of Renewable Energy of the National Academy of Sciences of Ukraine

Doctor of Technical Sciences, Professor

Department of Renewable Organic Energy Sources

References

  1. Kuprinenko, A., Chornyi, M., Mocherad, V., Ghahrodi, H. L. (2020). Concept Designing of Armoured Fighting Vehicles for Future Combat. Defence Science Journal, 70 (4), 397–403. https://doi.org/10.14429/dsj.70.14706
  2. Beliakov, G., Cao, T., Mak-Hau, V. (2022). Aggregation of Interacting Criteria in Land Combat Vehicle Selection by Using Fuzzy Measures. IEEE Transactions on Fuzzy Systems, 30 (9), 3979–3989. https://doi.org/10.1109/tfuzz.2021.3135972
  3. Davydovs’kyi, L. S., Bisyk, S. P., Chepkov, I. B., Vas’kivs’kyi, M. I., Katok, O. A., Slyvins’kyi, O. A. (2019). Alternatives of Energy Absorption Element Design Parameters for an Armored Combat Vehicle Seat Under Explosive Loading. Strength of Materials, 51 (6), 900–907. https://doi.org/10.1007/s11223-020-00140-7
  4. Yoo, C., Park, K., Choi, S. Y. (2016). The vulnerability assessment of ground combat vehicles using target functional modeling and FTA. International Journal of Precision Engineering and Manufacturing, 17 (5), 651–658. https://doi.org/10.1007/s12541-016-0079-8
  5. Heo, J., Jung, S. (2013). The Structure and Principal of the Tank and Armored Vehicles. Yang Seo Kag.
  6. The Military Balance 2024 (2024). The International Institute for Strategic Studies (IISS). https://doi.org/10.4324/9781003485834
  7. Muspratt, A. (2019). Maintaining NATO overmatch: Modernising armoured vehicles. DefenceiQ. Available at: https://www.defenceiq.com/armoured-vehicles/articles/future-armoured-vehicle-requirements
  8. Kincheloe, W., Edwards, E., Klopcic, J. T., Walbert, J., Deitz, P., Reed, Jr., H. et al. (2009). Fundamentals of Ground Combat System Ballistic Vulnerability/Lethality. American Institute of Aeronautics and Astronautics, Inc. https://doi.org/10.2514/4.860157
  9. Hennig, C., Meila, M., Murtagh, F., Rocci, R. (Eds.) (2015). Handbook of Cluster Analysis. Chapman and Hall/CRC. https://doi.org/10.1201/b19706
  10. Golub, V., Homa, V., Kurban, V., Sedov, S. (2019). Regarding the Definition of the Concept of Building an Armament System for the Needs of the Armed Forces of Ukraine. Science and Defense, 3, 31–35.
  11. Huang, X., Qi, X., Wang, W., Li, Q., He, H. (2024). Supplier selection of complex equipment in a military-civilian collaborative two-tier supply network with uncertain preference: A matching perspective. Journal of Management Science and Engineering, 9 (3), 328–347. https://doi.org/10.1016/j.jmse.2024.02.002
  12. Zabala-López, A., Linares-Vásquez, M., Haiduc, S., Donoso, Y. (2024). A survey of data-centric technologies supporting decision-making before deploying military assets. Defence Technology, 42, 226–246. https://doi.org/10.1016/j.dt.2024.07.012
  13. Louf, R., Barthelemy, M. (2014). A typology of street patterns. Journal of The Royal Society Interface, 11 (101), 20140924. https://doi.org/10.1098/rsif.2014.0924
  14. Rahman, A. R. H., Malik, S. A., Kumar, J. R., Balaguru, V., Sivakumar, P. (2017). A Design of Experiments Methodology for Evaluating Configuration for a Generation Next Main Battle Tank. Defence Science Journal, 68 (1), 19. https://doi.org/10.14429/dsj.68.12182
  15. Ramesh, S. (2017). The Armoured Tracked Vehicle - Future Perspective. Defence Science Journal, 67 (4), 341. https://doi.org/10.14429/dsj.67.11544
  16. Hoffenson, S., Arepally, S., Papalambros, P. Y. (2013). A multi-objective optimization framework for assessing military ground vehicle design for safety. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 11 (1), 33–46. https://doi.org/10.1177/1548512912459596
  17. Madhu, V., Bhat, T. (2011). Armour Protection and Affordable Protection for Futuristic Combat Vehicles. Defence Science Journal, 61 (4), 394–402. https://doi.org/10.14429/dsj.61.365
  18. Grujicic, M., Arakere, G., Bell, W. C., Haque, I. (2009). Computational investigation of the effect of up-armouring on the reduction in occupant injury or fatality in a prototypical high-mobility multi-purpose wheeled vehicle subjected to mine blast. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 223 (7), 903–920. https://doi.org/10.1243/09544070jauto1170
  19. Foss, C. F. (2000). Jane's Tanks & Combat Vehicles Recognition Guide. HarperCollins Publishers, 448.
  20. Risby, M. S., Suhaimi, K., Sheng, T. K., M. S., A. S., N, M. H. (2019). Heavy Military Land Vehicle Mass Properties Estimation Using Hoisting and Pendulum Motion Method. Defence Science Journal, 69 (6), 550–556. https://doi.org/10.14429/dsj.69.13478
  21. Trikande, M., Jagirdar, V., Sujithkumar, M. (2014). Evaluation of semi-active suspension control strategies for 8x8 armoured vehicle using stochastic road profile inputs. IFAC Proceedings Volumes, 47 (1), 941–948. https://doi.org/10.3182/20140313-3-in-3024.00035
  22. Vantsevich, V. V., Gorsich, D. J., Volontsevych, D. O., Veretennikov, I. A., Paldan, J. R., Moradi, L. (2023). Vehicle design for terrain mobility: A modeling technique of powertrain power conversion and realization. Journal of Terramechanics, 106, 75–88. https://doi.org/10.1016/j.jterra.2023.01.003
  23. King, J. L., Jackson, E., Brinker, C., Sarvestani, S. S. (2023). Wheel tracks, rutting a new Oregon Trail: A survey of autonomous vehicle cybersecurity and survivability analysis research. Advances in Computers, 67–106. https://doi.org/10.1016/bs.adcom.2022.12.002
  24. Gajda, J., Mielczarek, M. (2014). Automatic Vehicle Classification in Systems with Single Inductive Loop Detector. Metrology and Measurement Systems, 21 (4), 619–630. https://doi.org/10.2478/mms-2014-0048
  25. Thota, L. S., Badawy, A. S., Changalasetty, S. B., Ghribi, W. (2015). Classify vehicles: Classification or clusterization? 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015], 1–7. https://doi.org/10.1109/iccpct.2015.7159421
  26. Singhal, G., Bansod, B., Mathew, L. (2018). Unmanned Aerial Vehicle Classification, Applications and Challenges: A Review. https://doi.org/10.20944/preprints201811.0601.v1
  27. Golub, V., Kurban, V., Sedov, S., Golub, G. (2022). Classification of Combat Wheeled Vehicles Using Cluster Analysis Methods. Advances in Military Technology, 17 (1), 5–16. https://doi.org/10.3849/aimt.01499
  28. Bezdek, J. C. (1981). Pattern Recognition with Fuzzy Objective Function Algorithms. Springer US. https://doi.org/10.1007/978-1-4757-0450-1
Devising a method for categorizing combat wheeled vehicles using fuzzy cluster analysis

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Published

2025-04-30

How to Cite

Golub, V., Bisyk, S., Golub, G., Tsyvenkova, N., Sedov, S., Nadykto, V., Marus, O., & Yarosh, Y. (2025). Devising a method for categorizing combat wheeled vehicles using fuzzy cluster analysis. Eastern-European Journal of Enterprise Technologies, 2(1 (134), 13–21. https://doi.org/10.15587/1729-4061.2025.324546

Issue

Vol. 2 No. 1 (134) (2025): Engineering technological systems

Section

Engineering technological systems

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Copyright (c) 2025 Victor Golub, Serhii Bisyk, Gennadii Golub, Nataliya Tsyvenkova, Sviatoslav Sedov, Volodymyr Nadykto, Oleh Marus, Yaroslav Yarosh

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