Formalization of cognitive modeling in development of design decision support systems for technological systems of coal mines with account of basic ontologies
O.Y. Kozlova1 , V.V. Agafonov2
1 MIREA – Russian Technological University, Moscow, Russian Federation
2 National University of Science and Technology “MISIS”, Moscow, Russian Federation
Russian Mining Industry №5 / 2025 p. 44-48
Abstract: The paper represents a basic technological, methodical and methodological platform to address the problem posed with assistance and adaptation of new innovative foundations for software-targeted modeling of functional structures of technological systems in coal mines. Coal mining technology is claimed to be a self-organizing production system with dynamic development, which is characterized with many alternative options for a set of input and output concepts that allow synthesizing a rational technological system of a coal mining operation with a certain degree of uncertainty and stochasticity. The current state of the functional structure of the technological systems in mines is characterized by a finite set of values of all its constituent concepts (target, controlled and external), and a vector of values of the constituent target concepts-indicators is used in order to characterize the target state. The flowchart of the algorithm for adapting the cognitive modeling methodology to the procedure for synthesizing the technological system of a coal mine implies performing a number of iterations on its internal content with account of a number of complicating factors and limitations of the external and internal functioning environments. These limitations are objective and subjective in their nature, therefore they must have different degrees of influence on the problematic situations and procedural rules for making final decision regarding the choice of the final optimal variant of the functional structure of the technological system for a coal mine with an optimal development strategy within the life cycle.
Keywords: coal mine, functional structure of technological systems, design decision support systems, cognitive modeling, adaptation algorithm, target concept, controlled concept, external concept, cognitive map
For citation: Kozlova O.Y., Agafonov V.V. Formalization of cognitive modeling in development of design decision support systems for technological systems of coal mines with account of basic ontologies. Russian Mining Industry. 2025;(5):44–48. (In Russ.) https://doi.org/10.30686/1609-9192-2025-5-44-48
Article info
Received: 03.06.2025
Revised: 10.07.2025
Accepted: 23.07.2025
Information about the authors
Olga Yu. Kozlova – Cand. Sci. (Eng.), Associate Professor, Department of Higher Mathematics, a MIREA – Russian Technological University, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Valery V. Agafonov – Dr. Sci. (Eng.), Professor, Department of Geotechnology of Subsurface Development at the Mining Institute, National University of Science and Technology “MISIS”, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
References
1. Кретов В.А., Козлова О.Ю. Синтез организационно-технологических, организационно-технических и организационно-управленческих решений, обладающих наибольшим синергическим эффектом в рамках горноперерабатывающего предприятия. Уголь. 2022;(8):108–111. https://doi.org/10.18796/0041-5790-2022-8-108-111 Kretov V.A., Kozlova O.Yu. Synthesis of organizational-technological, organizational-technical and organizationalmanagement solutions that have the greatest synergistic effect within the mining enterprise. Ugol’. 2022;(8):108–111. (In Russ.) https://doi.org/10.18796/0041-5790-2022-8-108-111
2. Волошин В.А., Безносов А.В. Цифровизация производственных процессов на примере угольных шахт. Вестник Сибирского государственного индустриального университета. 2021;(3):31–36. Режим доступа: https://vestnik.sibsiu.ru/jour/article/view/243 (дата обращения: 12.05.2025). Voloshin V.A., Beznosov A.V. Production processes digitalization by the example of coal mines. Bulletin of the Siberian State Industrial University. 2021;(3):31–36. (In Russ.) Available at: https://vestnik.sibsiu.ru/jour/article/view/243 (accessed: 12.05.2025).
3. Зонова Н.О., Сердюк В.С. Разработка алгоритма превентивного регулирования человеческого фактора на угледобывающих предприятиях. Вестник научного центра по безопасности работ в угольной промышленности. 2022;(3):43–53. Zonova N.O., Serdiuk V.S. Development of the human factor preventive regulation algorithm at coal mining enterprises. Bulletin of Research Center for Safety in Coal Industry. 2022;(3):43–53. (In Russ.)
4. Куренков П.В. Симплициальные и мультиплициальные комплексы в мультимодальных транспортных системах. Интеллектуальные технологии на транспорте. 2021;(1):21–34. https://doi.org/10.24412/2413-2527-2021-125-21-34 Kurenkov P.V. Simplicial and multiplicial complexes in multimodal transportation systems. Intellectual Technologies on Transport. 2021;(1):21–34. (In Russ.) https://doi.org/10.24412/2413-2527-2021-125-21-34
5. Старостин А.М., Урбан Г.А., Тованчова Е.Н., Левчук Л.В. Современные энвайроментальные проблемы в глобальном и глокальном контексте. Наука и образование: хозяйство и экономика; предпринимательство; право и управление. 2020;(4):130–135. Starostin A.M., Urban G.A., Tovanchova E.N., Levchuk L.V. Modern environmental problems in a global and glocal context. Science and education: economy and financial economy; entrepreneurship; law and management. 2020;(4):130–135. (In Russ.)
6. Рахимбеков С.М. Критерий адаптации горной технологии. Горный информационно-аналитический бюллетень. 2020;(3):105–113. https://doi.org/10.25018/0236-1493-2020-3-0-105-113 Rakhimbekov S.M. Mining technology adaptation criterion. Mining Informational and Analytical Bulletin. 2020;(3):105–113. (In Russ.) https://doi.org/10.25018/0236-1493-2020-3-0-105-113
7. Захарова Е.Н., Иванова М.В. Когнитивное моделирование процесса обеспечения региональной конкурентоустойчивости. Экономика: вчера, сегодня, завтра. 2022;12(7-1):55–64. Zakharova E.N., Ivanova M.V. Cognitive modeling of the process of ensuring regional competitiveness. Economics: Yesterday, Today and Tomorrow. 2022;12(7-1):55–64. (In Russ.)
8. Петухова М.С. Когнитивное моделирование как инструмент сценарного прогнозирования отрасли растениеводства. Экономический обзор. 2020;(1):25–29. Petukhova M.S. Cognitive modeling as a tool for scenario forecasting of the crop industry. Economic Review. 2020;(1):25–29. (In Russ.)
9. Дышленко С.Г. Когнитивное моделирование в геоинформатике. Науки о Земле. 2020;(1):68–79. Dyushlenko S.G. Cognitive modeling in geoinformatics. Geoscience. 2020;(1):68–79. (In Russ.)
10. Фомченкова Л.В., Фомченков В.П. Применение когнитивного моделирования для обоснования выбора бизнес-модели экономической организации. Прикладная информатика. 2021;16(4):6–20. https://doi.org/10.37791/2687-0649-2021-16-4-6-20 Fomchenkova L.V., Fomchenkov V.P. Cognitive modelling application to business model choice justify of an economic organization. Journal of Applied Informatics. 2021;16(4):6–20. (In Russ.) https://doi.org/10.37791/2687-0649-2021-16-4-6-20
11. Массель А.Г., Пяткова Н.И. Применение методов когнитивного моделирования для анализа угроз энергетической безопасности. Информационные и математические технологии в науке и управлении. 2020;(4):24–33. https://doi.org/10.38028/ESI.2020.20.4.002 Massel A.G., Pyatkova N.I. Application of cognitive modeling methods for energy security threat analysis. Information and Mathematical Technologies in Science and Management. 2020;(4):24–33. (In Russ.) https://doi.org/10.38028/ESI.2020.20.4.002
12. Васильев А.М., Черняховская Л.Р., Вульфин А.М. Моделирование процессов управления инновационной деятельностью в регионе с применением нечетких когнитивных карт. Вестник Астраханского государственного технического университета. Серия: Управление, вычислительная техника и информатика. 2020;(3):15–25. https://doi.org/10.24143/2072-9502-2020-3-15-25 Vasilyev V.I., Chernyakhovskaya L.R., Vulfin A.M. Modeling of innovative activity management processes in the region with use of fuzzy cognitive maps. Vestnik of Astrakhan State Technical University. Series: Management, Computer Science and Informatics. 2020;(3):15–25. (In Russ.) https://doi.org/10.24143/2072-9502-2020-3-15-25
