I. TREES AS HASSE GRAPHS OF FINITE SEMILATTICES WITH RETRACTS
https://doi.org/10.34130/1992-2752_2025_4_4
Evgeny M. Vechtomov — Vyatka State University, vecht@mail.ru
Abstract. The article considers the elements of the semilattices theory. The main result of the work is a semilattice characterization of trees. An arbitrary graph has been proved to be a tree if and only if it is isomorphic to the Hasse graph of some finite semilattice, with all subsemilattices being retracts.
Keywords: semilattice, retract, semilattice with retracts, tree, Hasse graph of a finite order set.
References
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- Gretzer, G. Obshchaya teoriya reshetok [General Lattice Theory]. Moscow: Publishing House of the World, 1981. 456 p. (In Russ.)
- Vechtomov E. M., Shirokov D. V. Uporyadochennyye mnozhestva i reshetki [Ordered Sets and Lattices]. St. Petersburg: Lan’, 2024. 248 p. (In Russ.)
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- Asanov M. O., Baransky V. A., Rasin V. V. Diskretnaya matematika: grafy, matroidy, algoritmy [Discrete Mathematics: Graphs, Matroids, Algorithms]. St. Petersburg: Lan’, 2010. 368 pp. (In Russ.)
For citation: Vechtomov E. M. Trees as Hasse graphs of finite semilattices with retracts. Vestnik Syktyvkarskogo universiteta. Seriya 1: Matematika. Mekhanika. Informatika [Bulletin of Syktyvkar University, Series 1: Mathematics. Mechanics. Informatics], 2025, no 4 (57), pp. 4−14.
(In Russ.) https://doi.org/10.34130/1992-2752_2025_4_4

II. SOLVING A CONFLICT SITUATION WITH LINGUISTIC PARAMETER ESTIMATES
https://doi.org/10.34130/1992-2752_2025_4_15
Vladimir G. Chernov — Vladimir State University named after Alexander and Nikolai Stoletovs, vladimir.chernov44@mail.ru
Abstract. In antagonistic games, where players pursue opposing goals, it is in their interests to keep possible decisions secret. Therefore, it is highly probable for players to be unable to accurately determine the opponent’s actions and their consequences. In these
settings, unlike existing research, it is assumed that each player forms their own representation of the game, including assumptions about the opponent’s possible actions and the consequences of their counterstrategies, which are represented by fuzzy linguistic
statements.
Keywords: antagonistic game, payoff matrix, fuzzy set, linguistic value, membership function.
References
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For citation: Chernov V. G. Solving a conflict situation with linguistic parameter estimates. Vestnik Syktyvkarskogo universiteta. Seriya 1: Matematika. Mekhanika. Informatika [Bulletin of Syktyvkar University. Series 1: Mathematics. Mechanics. Informatics], 2025, no 4 (57), pp. 15−37. (In Russ.) https://doi.org/10.34130/1992-2752_2025_4_15

III. DEVELOPMENT OF DATABASE MANAGEMENT SYSTEMS ANALYSIS
https://doi.org/10.34130/1992-2752_2025_4_38
Yuriy V. Golchevskiy — Pitirim Sorokin Syktyvkar State University, yurygol@mail.ru,
Ivan D. Zakharov — Pitirim Sorokin Syktyvkar State University, zakharovid@syktsu.ru
Abstract. Business demands have become one of the most important challenges in the development of databases and necessitated a transition from technologies used in simple database management systems to technologies for working with big data platforms.
Keywords: database management systems, database development, development trends, domestic DBMS market.
References
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- Golchevskiy Yu. V. Changes in approaches to data processing — data lakes. Tridtsat’ vtoraya godichnaya sessiya Uchonogo soveta Syktyvkarskogo gosudarstvennogo universiteta imeni Pitirima Sorokina [Elektronnyy resurs]: Fevral’skiye chteniya: Natsional’naya konferentsiya : sbornik statey: Chast’ 1 / otv. red. N. N. Novikova
[Thirty-second annual session of the Academic Council of Pitirim Sorokin Syktyvkar State University [Electronic resource] : February Readings: National Conference : Collection of Articles: Part 1]. Ed. by N. N. Novikova. Syktyvkar: Pitirim Sorokin Syktyvkar State University. 2025. Pp. 460–466. EDN: AFDELG. (In Russ.) - Berg K. L., Seymour T., Goel R. History Of Databases. International Journal of Management & Information Systems. 2012. Vol. 17. No 1. Pp. 29–36. DOI: 10.19030/ijmis.v17i1.7587.
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- Travkina E. A. Development of the domestic infrastructure software market in the context of foreign economic constraints. Vector Economiki [Vector of Economics]. 2024. No 10. Available at: https://vectoreconomy.ru/images/publications/2024/10/marketingandmanagement/Travkina2.pdf (accessed: 12.05.2025). EDN: BGDQQK. (In Russ.)
For citation: Golchevskiy Yu. V., Zakharov I. D. Development of database management systems analysis. Vestnik Syktyvkarskogo universiteta. Seriya 1: Matematika. Mekhanika. Informatika [Bulletin of Syktyvkar University, Series 1: Mathematics. Mechanics. Informatics],
2025, no 4 (57), pp. 38−58. (In Russ.) https://doi.org/10.34130/1992-2752_2025_4_38

IV. FUNDAMENTALIZATION OF MATHEMATICAL EDUCATION IN THE CONTEXT OF DIGITAL TRANSFORMATION CHALLENGES: THEORETICAL AND METHODOLOGICAL ASPECT
https://doi.org/10.34130/1992-2752_2025_4_59
Vladislav V. Sushkov — Pitirim Sorokin Syktyvkar State University, vvsu@mail.ru
Abstract. The article examines the problem of strengthening the fundamental component in the mathematical education of students in specialized areas (mathematicians and mathematics teachers) in the context of digital transformation.
Keywords: fundamental mathematical education, digital transformation, artificial intelligence, mathematical structures, mathematics teaching methodology, professional training.
References
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For citation: Sushkov V. V. Fundamentalization of mathematical education in the context of digital transformation challenges: theoretical and methodological aspect. Vestnik Syktyvkarskogo universiteta. Seriya 1: Matematika. Mekhanika. Informatika [Bulletin of Syktyvkar University. Series 1: Mathematics. Mechanics. Informatics], 2025, no 4 (57), pp. 59−72. (In Russ.) https://doi.org/10.34130/1992-2752_2025_4_59

V. COMPARATIVE ANALYSIS OF SWARM INTELLIGENCE ALGORITHMS: GWO AND ChOA
https://doi.org/10.34130/1992-2752_2025_4_73
Nadezhda N. Babikova — Pitirim Sorokin Syktyvkar State University, valmasha@mail.ru
Nadezhda O. Kotelina — Pitirim Sorokin Syktyvkar State University, nad7175@yandex.ru
Abstract. Metaheuristic swarm intelligence algorithms are widely used in solving problems, ranging from determining the optimal position of a police raiding party to image segmentation and determining optimal training parameters for neural networks.
Keywords: swarm intelligence, Grey Wolf Optimizer, Chimp Optimization Algorithm, GWO, ChOA, learning.
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For citation: Babikova N. N., Kotelina N. O. Comparative analysis of swarm intelligence algorithms: GWO and ChOA. Vestnik Syktyvkarskogo universiteta. Seriya 1: Matematika. Mekhanika. Informatika [Bulletin of Syktyvkar University, Series 1: Mathematics. Mechanics. Informatics], 2025, no 4 (57), pp. 73−92. (In Russ.) https://doi.org/10.34130/1992-2752_2025_4_73












