Development of a procedure for expert estimation of capabilities in defense planning under multicriterial conditions

Authors

  • Oleksandr Nesterenko Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine Chokolovsky Boulevard, 13, Kyiv, Ukraine, 03186, Ukraine https://orcid.org/0000-0001-5329-889X
  • Igor Netesin Ukrainian Scientific Center for Development of Information Technologies Akademika Hlushkova ave., 44, Kyiv, Ukraine, 03680, Ukraine https://orcid.org/0000-0003-1236-287X
  • Valery Polischuk Ukrainian Scientific Center for Development of Information Technologies Akademika Hlushkova ave., 44, Kyiv, Ukraine, 03680, Ukraine https://orcid.org/0000-0001-6991-0617
  • Oleksandr Trofymchuk Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine Chokolovsky Boulevard, 13, Kyiv, Ukraine, 03186, Ukraine https://orcid.org/0000-0003-3358-6274

DOI:

https://doi.org/10.15587/1729-4061.2020.208603

Keywords:

information technologies, multicriterial analysis, ontology, analytical hierarchy process, directed graphs, capabilities, defense planning

Abstract

Improving the decision-making efficiency in defense planning based on the capabilities of military forces and means for performing purposeful tasks requires new methodological approaches and their implementation in the form of software information-analytical tools. Given the complex information environment of defense planning, it is appropriate for the variants of capabilities development options to be chosen by experts on the methodological basis of multicriterial analysis.

The research result is the development of a procedure, in which it is proposed to generate criteria and evaluate alternative options by integrating ontology, the Analytical Hierarchy Process, and the method of directed graphs. The ontological representation of the data ensures the construction of the hierarchical taxonomy of a domain and the formation of the criteria vector. The Analytical Hierarchy Process is used to conduct an expert evaluation of capabilities by their pairwise comparison against determined criteria. Experts’ judgments are visualized and controlled using directed graphs. Application of the procedure will make it possible to ensure efficiency, versatility, and simplicity of technical implementation of a procedure of decision making support. The procedure was tested on the example of choosing a capability to conduct reconnaissance for the benefit of ground artillery. It was shown that the evaluation process in the expert activity is considerably simplified due to the graph visualization.

The proposed procedure introduces an innovative tool to achieve strategic goals and accomplish the basic tasks of the defense reform, which is relevant for many countries. The versatility of the procedure creates the basis for its application not only in defense but also in other force departments

Author Biographies

Oleksandr Nesterenko, Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine Chokolovsky Boulevard, 13, Kyiv, Ukraine, 03186

PhD, Associate Professor

Department of Integrated Research

Igor Netesin, Ukrainian Scientific Center for Development of Information Technologies Akademika Hlushkova ave., 44, Kyiv, Ukraine, 03680

PhD

Department of Analytical Research

Valery Polischuk, Ukrainian Scientific Center for Development of Information Technologies Akademika Hlushkova ave., 44, Kyiv, Ukraine, 03680

PhD

Department of Analytical Research

Oleksandr Trofymchuk, Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine Chokolovsky Boulevard, 13, Kyiv, Ukraine, 03186

Doctor of Technical Sciences, Professor, Corresponding Member of the National Academy of Sciences of Ukraine

Department of Natural Resources

References

  1. Ustymenko, O. V., Bilyk, V. I. (2018). Planning for the development of the capabilities of the Ukrainian defense forces to counter the threats during the hybrid war. Visnyk NADU pry Prezydentovi Ukrainy (Seriya “Derzhavne upravlinnia”), 2, 48–52. Available at: http://visnyk.academy.gov.ua/pages/dop/79/files/26ce167b-d55b-468e-bc9f-c6ec018615af.pdf
  2. Rusnak, I. S.. Petrenko, A. H., Yakovenko, A. V., Romaniuk, I. M., Kokhno, V. D. (2017). Oboronne planuvannia na osnovi spromozhnostei: osoblyvosti ta perspektyvy vprovadzhennia. Nauka i oborona, 2, 3–10.
  3. De Spiegeleire, S. (2011). Ten Trends in Capability Planning for Defence and Security. The RUSI Journal, 156 (5), 20–28. doi: https://doi.org/10.1080/03071847.2011.626270
  4. Davis, P. K. (2002). Analytic Architecture for CapabilitiesBased Planning, Mission-System Analysis and Transformation. National Defense Research Institute, Santa Monica, USA.
  5. Ivashchenko, A., Pavlikovsky, A., Sivoha, I. (2017). Conception of the defensive planning on the basis of development of possibilities: problems of introduction. Research papers collection of the Center of military and strategic studies, 1 (59), 53–58. doi: https://doi.org/10.33099/2304-2745/2017-1-59/53-58
  6. Saaty, T. L. (2013). On the Measurement of Intangibles. A Principal Eigenvector Approach to Relative Measurement Derived from Paired Comparisons. Notices of the American Mathematical Society, 60 (02), 192. doi: https://doi.org/10.1090/noti944
  7. Palagin, A. V., Petrenko, N. G. (2007). K voprosu sistemno-ontologicheskoy integratsii znaniy predmetnoy oblasti. Matematicheskie mashiny i sistemy, 3-4, 63–75.
  8. Nesterenko, O., Trofymchuk, O. (2019). Patterns in forming the ontology-based environment of information-analytical activity in administrative management. Eastern-European Journal of Enterprise Technologies, 5 (2 (101)), 33–42. doi: https://doi.org/10.15587/1729-4061.2019.180107
  9. Vlahavas, L., Bassitiades, N., Sakellariou, I., Molina, M., Ossowski, S., Futo, I. et. al. (2002). ExperNet: an intelligent multiagent system for WAN management. IEEE Intelligent Systems, 17 (1), 62–72. doi: https://doi.org/10.1109/5254.988459
  10. Niaraki, A. S., Kim, K. (2009). Ontology based personalized route planning system using a multi-criteria decision making approach. Expert Systems with Applications, 36 (2), 2250–2259. doi: https://doi.org/10.1016/j.eswa.2007.12.053
  11. Xu, F., Liu, X., Chen, W., Zhou, C., Cao, B. (2018). An Ontology and AHP Based Quality Evaluation Approach for Reuse Parts of End-of-Life Construction Machinery. Mathematical Problems in Engineering, 2018, 1–12. doi: https://doi.org/10.1155/2018/3481030
  12. El-Dsouky, A. I., Ali, H. A., Rashed, R. S. (2018). Ranking Documents Based on the Semantic Relations Using Analytical Hierarchy Process. Information Retrieval and Management, 1841–1859. doi: https://doi.org/10.4018/978-1-5225-5191-1.ch084
  13. Groza, A., Dragoste, I., Sincai, I., Jimborean, I., Moraru, V. (2014). An Ontology Selection and Ranking System Based on the Analytic Hierarchy Process. 2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing. doi: https://doi.org/10.1109/synasc.2014.47
  14. Wasielewska, K., Ganzha, M., Paprzycki, M., Bădică, C., Ivanovic, M., Lirkov, I. (2014). Multicriteria analysis of ontologically represented information. AIP Conference Proceedings. doi: https://doi.org/10.1063/1.4902284
  15. Liao, Y. X., Rocha Loures, E., Canciglieri, O., Panetto, H. (2014). A Novel Approach for Ontological Representation of Analytic Hierarchy Process. Advanced Materials Research, 988, 675–682. doi: https://doi.org/10.4028/www.scientific.net/amr.988.675
  16. Lai, C.-M. (2019). Integrating simplified swarm optimization with AHP for solving capacitated military logistic depot location problem. Applied Soft Computing, 78, 1–12. doi: https://doi.org/10.1016/j.asoc.2019.02.016
  17. Kovac, M., Stojkovic, D., Mitic, V. (2013). Capability based defence development planning - optimal option selection for capability development. XI Balkan Conference on Operational Recarch (BALCOR-2013), Conference Paper, 551–558. Available at: https://www.researchgate.net/publication/287999099
  18. DeStefano, R. J., Tao, L., Gai, K. (2016). Improving Data Governance in Large Organizations through Ontology and Linked Data. 2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud). doi: https://doi.org/10.1109/cscloud.2016.47
  19. Rabaey, M., Van Damme, C., Vandenborre, K., Vandijck, E. (2007). Ontology Negotiation in an Intelligent Agents Dynamic System for Military Resources and Capabilities Planning. IRMA International Conference. Available at: https://www.researchgate.net/publication/305490801_Ontology_Negotiation_in_an_Intelligent_Agents_Dynamic_System_for_Military_Resources_and_Capabilities_Planning
  20. Nesterenko, O. V. (2019). Ontologically-driven information systems in the administrative management. Mathematical modeling in economy, 15 (2), 57–68. Available at: https://www.mmejournal.in.ua/index.php/mmejournal/article/view/66/66

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Published

2020-08-31

How to Cite

Nesterenko, O., Netesin, I., Polischuk, V., & Trofymchuk, O. (2020). Development of a procedure for expert estimation of capabilities in defense planning under multicriterial conditions. Eastern-European Journal of Enterprise Technologies, 4(2 (106), 33–43. https://doi.org/10.15587/1729-4061.2020.208603

Issue

Vol. 4 No. 2 (106) (2020): Information technology. Industry control systems

Section

Information technology

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Copyright (c) 2020 Oleksandr Nesterenko, Igor Netesin, Valery Polischuk, Oleksandr Trofymchuk

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