Main Article Content
The article proposes the use of geospatial information to support managerial decision-making by public authorities in the field of reintegration of temporarily occupied territories in Donetsk, Luhansk regions and Crimea. Variants of application of decision support systems in the management of immovable military property of the Armed Forces of Ukraine, the existing algorithms and methods of the decision support system in land relations are analyzed. Proposals are presented to support the adoption of managerial decisions by public authorities on the basis of Earth remote sensing data. The algorithm for the functioning of the decision support system in solving the problems of reintegration of temporarily occupied territories has been improved. The proposed sequence of actions of the method of the process of supporting the adoption of administrative decisions by public authorities in the field of reintegration of temporarily occupied territories using geospatial information, mathematical constructions of category theory and predicate logic. The order of implementation of the sequence of actions of this method is given. By improving and detailing the proposed method, it is possible to form a more effective system for supporting the adoption of managerial decisions by public authorities using geospatial information.
Merem, E.C. and Twumasi, Y.A. (2008), “Using Geospatial Information Technology in Natural Resources Management: The Case of Urban Land Management In West”, Africa. Scientific Journal Sensors (Basel), Vol. № 8 (2), pp. 607–619.
Shikhov, A.N., Cherepanova, E.S. and Ponomarchuk, A.I. (2014), Geoinformation systems: the use of GIS technologies in solving hydrological problems, a workshop, textbook. manual, Perm, 91 p.
Ališić, I., Mastelić Ivić, S., Tomić, H., and Tomljenović, M. (2014), “Decision Support System to Urban Land Readjustment”, 6th International Conference on Engineering Surveying Prague, Czech Republic, pp. 143-148.
Earth Observing System. High-Resolution Satellite Imagery, available at: https://eos.com/ru/products/high-resolution-images/
Pustovarov, V. (2020), “Construction of information technology for development of knowledge base on identification of urban structures on digital space and aerial photographs in the urban environment monitoring”, Advanced Information Systems, Vol. 4, No. 3, pp. 70–73, DOI: https://doi.org/10.20998/2522-9052.2020.3.08.
Bidyuk, P.I. and Korshevnyuk, L.O. (2010), Design of computer information systems for decision support, NTUU "KPI", Kyiv, 340 р.
Turko, D.A. (2009), “Taking into account the conditions of uncertainty and risk in the decision-making process in the field of high-tech production”, Open information and computer integrated technologies, Vol. 43, pp. 180-187.
Terelyansky, P.V. (2009), Decision support systems. Experience of design, Volga State Techn. Univ, Volgograd, 127 p.
Gamzayev R., Tkachuk, M., and Shevkoplias D. (2020), “Knowledge-oriented information technology to variability management at the domain analysis stage in software development”, Advanced Information Systems, Vol. 4, No. 4, pp. 39–47, DOI: https://doi.org/10.20998/2522-9052.2020.4.06.
Hou, J., Yuan, Y., Peitao, W., Zhiyuan, R., and Xiaojuan, L. (2017), “Development of a decision support system for tsunami evacuation: application to the Jiyang District of Sanya city in China”, Nat. Hazards Earth Syst. Sci., pp.335-343, DOI: https://doi.org/10.5194/nhess-17-335-2017.
Galagan, V. I., PolIshko, S. V., and Bondarchuk, S. V. (2018), “Application of decision support systems in the management of real estate military property of the Armed Forces of Ukraine” [“Zastosuvannya sistem pidtrimki priynyattya rishen v upravlinni neruhomim viyskovim maynom Zbroynih Sil Ukrayini”], Informatization and project management of informatization of the Armed Forces, Vol. 7 (4), pp. 74—79.
Kuhar M.A. (2017), “Algorithm of the functioning of the decision support system in land relations” [“Algoritm funktsionuvannya sistemi pidtrimki priynyattya rishen v zemelnih vidnosinah”], Informatics and Mathematical Methods in Simulation, Vol. 7 (4), pp. 325—332.
Miller, T. (2019), “Explanation in artificial intelligence: Insights from the social sciences”, Artificial Intelligent, pp. 1-38, DOI: https://doi.org/10.1016/j.artint.2018.07.007.
Tripathi K. P. (2011), “Decision support system is a tool for making better decisions in the organization”, Indian Journal of Computer Science and Engineering (IJCSE), Vol. 2(1), P. 112–117.
Kurbatsky, A.N. and Cheushev, V.A. (1999), Informational method of analysis and optimization in decision support systems, Ed. Institute of Technical Cybernetics, Minsk, Belarus.