Development of a procedure for expert estimation of capabilities in defense planning under multicriterial conditions
Keywords:information technologies, multicriterial analysis, ontology, analytical hierarchy process, directed graphs, capabilities, defense planning
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
- 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
- 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.
- 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
- Davis, P. K. (2002). Analytic Architecture for CapabilitiesBased Planning, Mission-System Analysis and Transformation. National Defense Research Institute, Santa Monica, USA.
- 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
- 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
- Palagin, A. V., Petrenko, N. G. (2007). K voprosu sistemno-ontologicheskoy integratsii znaniy predmetnoy oblasti. Matematicheskie mashiny i sistemy, 3-4, 63–75.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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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