Узагальнена концепція технології збору і обробки знань для підтримки прийняття рішень в умовах невизначеності
DOI:
https://doi.org/10.35681/1560-9189.2025.27.3.354611Ключові слова:
: підтримка прийняття рішень, цільова ієрархічна декомпозиція, рейтинг, ранжирування, стратегічне планування, метод аналізу сценаріївАнотація
Проаналізовано кілька технологій і методик підтримки прийняття рішень в умовах невизначеності. Зокрема, інструментарій підтримки прийняття рішень розглянуто в контексті задач відбору проєктів, стратегічного планування (на різних рівнях), розподілу ресурсів, протидії негативним впливам в інформаційній боротьбі, побудови та аналізу прогнозованих сценаріїв розвитку подій. На основі проведеного аналізу розроблено умовну класифікацію наявних підходів і узагальнену концепцію технології збору і обробки знань, яка забезпечує прийняття поінформованих і компетентних рішень різного характеру в слабко структурованих предметних областях.
Посилання
Proceedings of the International Symposium for the Analytic Hierarchy Process. URL: https://www.isahp.org/proceedings/
Lande D.V. OSINT u kiberbezpetsi: navchalnyi posibnyk. Kyiv: TOV “Engineering”, 2024. 522 p.
Tsyganok V., Kadenko S., Andriichuk O. Hybrid Decision Support Methodology Based on Objective and Expert Data. 2020 IEEE 11th International Conference on Dependable Systems, Services and Technologies (DESSERT). Kyiv, Ukraine, 2020. pp. 265–271. https://doi.org/10.1109/DESSERT50317.2020.9125022
Lande D., Kondratenko Y. Features of construction systems of distributed content monitoring of global information networks. Information Technology and Security. 2017. Vol. 5, Issue 1. pp. 5–11. https://doi.org/10.20535/2411-1031.2017.5.1.120550
Saaty T.L. The Analytic Hierarchy Process. McGraw-Hill, 1980.
Tsyganok V.V., Kadenko S.V., Andriichuk O.V. Using Different Pair-wise Comparison Scales for Developing Industrial Strategies. International Journal of Management and Decision Making. 2015. Vol. 14, No. 3. pp. 224–250. https://doi.org/10.1504/IJMDM.2015.070760
Tsyganok V.V., Kadenko S.V., Kachanov P.T., Andriichuk O.V., Roik P.D. Instrumentarii pidtrymky pryiniattia rishen yak zasib stratehichnoho planuvannia. Ozbroiennia ta viiskova tekhnika. 2015. No. 3. pp. 59–66.
Tsyganok V., Kadenko S., Andriichuk O., Roik P. Usage of multicriteria decision-making support arsenal for strategic planning in environmental protection sphere. Journal of Multi-Criteria Decision Analysis. 2017. 24(5–6). pp. 227–238. https://doi.org/10.1002/mcda.1616
Tsyganok V., Beselovskyi R., Minas V., Holota V., Hryhorenko O. Scenario Development of Problem Situations Using Automated Solutions on the Knowledge Transfer Platform. Selected Papers of the XXIV International Scientific and Practical Conference “Information Technologies and Security” (ITS 2024). CEUR Workshop Proceedings. Vol. 4068. pp. 14–26.
Keeney R.L., Raiffa H. Decisions with Multiple Objectives: Preferences and Value Trade-Offs. Cambridge University Press, 1993. https://doi.org/10.1017/CBO9781139174084
Kadenko S.V., Tsyganok V.V., Andriichuk O.V., Karabchuk A.V. Analiz instrumentariiu pidtrymky pryiniattia rishen u konteksti vyrishennia zadach stratehichnoho planuvannia. Reiestratsiia, zberihannia i obrobka danykh. 2020. Vol. 22, No. 2. pp. 77–91. https://doi.org/10.35681/1560-9189.2020.22.2.211281
Roy B. Classement et choix en présence de points de vue multiples (la méthode ELECTRE). La Revue d’Informatique et de Recherche Opérationelle. 1968. 8. pp. 57–75. https://doi.org/10.1051/ro/196802V100571
Totsenko V.H. Metody ta systemy pidtrymky pryiniattia rishen. Alhorytmichnyi aspekt. Kyiv: Naukova dumka, 2002. 382 p.
Saaty T.L. Decision Making with Dependence and Feedback: The Analytic Network Process. Pittsburgh: RWS Publications, 1996.
Hwang C.L., Yoon K. Multiple Attribute Decision Making: Methods and Applications. New York: Springer-Verlag, 1981. https://doi.org/10.1007/978-3-642-48318-9
Mareschal B., Brans J.-P. PROMETHEE Methods. Ch. 5 in: Figueira J., Greco S., Ehrgott M., eds. Multiple Criteria Decision Analysis: State of the Art Surveys. New York: Springer, 2005. https://doi.org/10.1007/0-387-23081-5_5
Si S.-L., You X.-Y., Liu H.-C., Zhang P. DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications. Mathematical Problems in Engineering. 2018. pp. 1–33. https://doi.org/10.1155/2018/3696457
Tsyganok V.V. Udoskonalennia metodu tsilovoho dynamichnoho otsiniuvannia alternatyv ta osoblyvosti yoho zastosuvannia. Reiestratsiia, zberihannia i obrobka danykh. 2013. Vol. 15, No. 1. pp. 90–99. https://doi.org/10.35681/1560-9189.2013.15.1.103369
Zakon Ukrainy Pro zatverdzhennia Zahalnoderzhavnoi tsilovoi naukovo-tekhnichnoi kosmichnoi prohramy Ukrainy na 2013–2017 roky. URL: https://zakon.rada.gov.ua/laws/show/439-18#Text
Kadenko S.V., Vysotskyi V.O. Metod formalnoho opysu slabkostrukturovanykh predmetnykh oblastei z urakhuvanniam hromadskoi dumky. Reiestratsiia, zberihannia i obrobka danykh. 2018. Vol. 20, No. 3. pp. 49–66. https://doi.org/10.35681/1560-9189.2018.20.3.158510
Likert R. A Technique for the Measurement of Attitudes. Archives of Psychology. 1932. No. 140. pp. 1–55.
Olenko A., Tsyganok V. Double entropy inter-rater agreement indices. Applied Psychological Measurement. 2016. 40(1). pp. 37–55. https://doi.org/10.1177/0146621615592718
Tsyganok V., Kadenko S., Andriichuk O. Using data from open sources for decision-making under information warfare. Information Technology and Security. 2019. 7(1). pp. 35–48. https://doi.org/10.20535/2411-1031.2019.7.1.184221
Dodonov A., Lande D., Tsyganok V., Andriichuk O., Kadenko S., Graivoronskaya A. Information Operations Recognition. From Nonlinear Analysis to Decision-Making. Lambert Academic Publishing, 2019.
Heuer R.J., Jr. Psychology of Intelligence Analysis. Chapter 8: Analysis of Competing Hypotheses. Center for the Study of Intelligence, Central Intelligence Agency, 1999. URL: https://www.cia.gov/resources/csi/static/Pyschology-of-Intelligence-Analysis.pdf
Svidotstvo pro reiestratsiiu avtorskoho prava na tvir № 75023. Kompiuterna prohrama “Systema rozpodilenoho zboru ta obrobky ekspertnoi informatsii dlia system pidtrymky pryiniattia rishen – Konsensus-2” / Tsyganok V.V., Roik P.D., Andriichuk O.V., Kadenko S.V. Vid 27.11.2017.
Decision Lens Integrated Planning Software. URL: https://www.decisionlens.com/
Poudel S., Bhattarai Sh. AI Integration Demonstration at the AHP Based Mobile App Decision Mentor. In: Proceedings of the 18th International Symposium on the Analytic Hierarchy/Network Process (ISAHP 2024). Web Conference. Dec. 13–15, 2024. URL: https://www.isahp.org/uploads/26_001.pdf https://doi.org/10.13033/isahp.y2024.009
Das D., Paladugu N., Nagalla S. Automation and Remote Monitoring by using TOPSIS Method. Journal on Electronic and Automation Engineering. 2024. Vol. 3, No. 3. pp. 16–24. https://doi.org/10.46632/jeae/3/3/3
Gigović L., Pamučar D., Bajić Z., Milićević M. The Combination of Expert Judgment and GIS-MAIRCA Analysis for the Selection of Sites for Ammunition Depots. Sustainability. 2016. 8(4). 372. https://doi.org/10.3390/su8040372
Andriichuk O., Kadenko S., Tsyganok O., Besklinska O., Trubitsyna O. Usage Artificial Intelligence Toolkit for Improving Translations to English. Selected Papers of the III International Scientific Symposium “Intelligent Solutions” (IntSol-2023). CEUR Workshop Proceedings. 2023. Vol. 3538. pp. 328–336.
Kesavan E. A Review on Ethical and Legal Issues in Artificial Intelligence and Data Privacy. International Journal of Innovations in Science, Engineering and Management. 2024. 3(4). pp. 94–99. https://doi.org/10.69968/ijisem.2024v3i494-99
Lande D., Alekseichuk L., Svoboda I., Strashnoy L. Methodology of a Swarm of Virtual Experts for Evaluating the Weight of Connections in Network. Theoretical and Applied Cybersecurity. 2024. Vol. 6, No. 2. pp. 25–33. https://doi.org/10.20535/tacs.2664-29132024.2.319946
Boyko O. Suchasni metody shtuchnoho intelektu dlia vyiavlennia propahandy v teksti. Reiestratsiia, zberihannia i obrobka danykh. 2025. Vol. 27, No. 1. pp. 120–131. https://doi.org/10.35681/1560-9189.2025.27.1.336147
Ivakhnenko A. Polynomial theory of complex systems. IEEE Transactions on Systems, Man and Cybernetics. 1971. SMC-1(4). pp. 364–378. https://doi.org/10.1109/TSMC.1971.4308320
Kadenko S.V., Tsyganok V.V. Pro odyn pidkhid do pryiniattia kadrovykh rishen. Reiestratsiia, zberihannia i obrobka danykh. 2009. Vol. 11, No. 3. pp. 66–74.
Kadenko S.V. Defining the Relative Weights of the Alternatives Estimation Criteria Based on Clear and Fuzzy Rankings. Journal of Automation and Information Sciences. 2013. Vol. 45, Issue 2. pp. 41–49. https://doi.org/10.1615/JAutomatInfScien.v45.i2.50
Bozóki S., Tsyganok V. The (logarithmic) least squares optimality of the arithmetic (geometric) mean of weight vectors calculated from all spanning trees for incomplete additive (multiplicative) pairwise comparison matrices. International Journal of General Systems. 2019. 48(4). pp. 362–381. https://doi.org/10.1080/03081079.2019.1585432
Kadenko S., Tsyganok V., Szádoczki Z., Bozóki S. An update on combinatorial method for aggregation of expert judgments in AHP. Production. 2021. 31. https://doi.org/10.1590/0103-6513.20210045
Andriichuk O., Kadenko S., Tsyganok V. Significance of the order of pair-wise comparisons in Analytic Hierarchy Process: an experimental study. Journal of Multi-Criteria Decision Analysis. 2024. 31(3–4). e1830. https://doi.org/10.1002/mcda.1830
Kadenko S., Andriichuk O., Homeniuk H. Simulation of Incomplete Ranking-dependent Expert Estimates. Selected Papers of the XXIV International Scientific and Practical Conference “Information Technologies and Security” (ITS 2024). CEUR Workshop Proceedings. 2024. Vol. 4068. pp. 43–55. URL: https://ceur-ws.org/Vol-4068/paper4.pdf
Szádoczki Z., Bozóki S., Tekile H. Filling in pattern designs for incomplete pairwise comparison matrices: (quasi-)regular graphs with minimal diameter. Omega. 2022. 107. https://doi.org/10.1016/j.omega.2021.102557
Szádoczki Z., Bozóki S., Juhász P. et al. Incomplete pairwise comparison matrices based on graphs with average degree approximately 3. Annals of Operations Research. 2023. 326. pp. 783–807. https://doi.org/10.1007/s10479-022-04819-9
Hnatiienko H.M., Snytiuk V.Ye. Ekspertni tekhnolohii pryiniattia rishen: monohrafiia. Kyiv: TOV “Maklaut”, 2008. 444 p.
Tsyganok V.V., Kadenko S.V., Andriichuk O.V. Significance of expert competence consideration in group decision making using AHP. International Journal of Production Research. 2012. 50(17). pp. 4785–4792. https://doi.org/10.1080/00207543.2012.657967
Tsyganok V., Olenko A., Roik P., Vlasenko O. Determining Adequate Consistency Levels for Aggregation of Expert Estimates. Selected Papers of the XXIII International Scientific and Practical Conference “Information Technologies and Security” (ITS 2023). CEUR Workshop Proceedings. Vol. 3887. pp. 21–34.
Kadenko S., Tsyganok V. A Method for Improving the Consistency of Individual Expert Rankings during Their Aggregation. Journal of Automation and Information Sciences. 2012. Vol. 44, Issue 4. pp. 23–31. https://doi.org/10.1615/JAutomatInfScien.v44.i4.30
Holland J. Adaptation in Natural and Artificial Systems. University of Michigan Press, 1975.
Mitchell M. An Introduction to Genetic Algorithms. Cambridge, MA: MIT Press, 1996. https://doi.org/10.7551/mitpress/3927.001.0001
