Труды КНЦ (Технические науки вып. 3/2024(15))

4. Sazhina, Yu. V., Lipinskiy, L. V., & Sviridova, A. S. Primenenie imitatsionnogo modelirovaniya pri razrabotke sistemy, osnovannoy na nechyotokoy logike [Application of simulation modeling in the development o f a fuzzy logic-based system]. Aktual'nyye Problemy Aviatsii i Kosmonavtiki [Current problems o f aviation and cosmonautics]. 2018, vol. 2, No. 4(14), pp. 202-206. (In Russ.). 5. Vereshchikov, D. V., Voloshin, V. A., Ivashkov, S. S., & Vasilyev, D. V. Primenenie nechyotokoy logiki dlya sozdaniya imitatsionnoy modeli upravlyayushchikh deystviy letchika [Applying fuzzy logic for developing simulation model o f pilot''s control actions]. Trudy MA I [Proceedings o f MAI], 2018, No 99, P. 13. (In Russ.). 6 . Marushko, V. A., & Semenova, N. G. Imitatsionnoe modelirovanie sistemy upravleniya ustanovkami ulichnogo osveshcheniya v srede MATLAB s pomoshch'yu nechyotokoy logiki [Simulation modeling o f street lighting control systems in MATLAB using fuzzy logic. Innovacionnoe razvitie nauki i obrazovaniya: sbornik statej XVIIMezhdunarodnoj nauchno-prakticheskoj konferencii, Penza, 30 yanvarya 2023 goda [Innovative development o f science and education: collection o f articles o f the XVII International Scientific and Practical Conference]. Penza, Publ. Nauka i Prosveshchenie, 2023, pp. 33-36. (In Russ.). 7. Kim Y, Lee M., Hong J., Lee Yun-Sik, Wee J., Cho K. Development o f a fuzzy logic-embedded system dynamics model to simulate complex socio-ecological systems. Ecological Modelling. Publ. Elsevier, 2024, Vol. 493, 110738. https://doi.org/10.1016/j.ecolmodel.2024.110738. 8 . Md. Aminur Rahman, Kazi Main Uddin Ahmed, Md. Rayhanus Sakib modeling o f a novel fuzzy based overcurrent relay using Simulink. International Journal o f Scientific & Technology Research , 2012, Vol. 1, Issue 4, pp. 24-29. 9. Epstein J. G., Mohring M., Klaus G. T. Fuzzy-logical rules in a multi-agent system. Social-Economic Phenomena and Processes, 2006, No. 1-2( 1-2), pp. 35-39. 10. Hassan S., Salgado M., Pavon J. Friends Forever: Social Relationships with a Fuzzy Agent-Based Model. HybridArtificial Intelligence Systems. HAIS 2008. Lecture Notes in Computer Science. Publ. Springer, Berlin, Heidelberg, 2008, Vol. 5271, pp. 523-532. https://doi.org/10.1007/978-3-540-87656-4_65. 11. Kova^m» N. E., & Novikov S. P. Razrabotka imitatsionnoy modeli virtual'nogo poselka s ispol'zovaniem sistemy prinyatiya resheniy na osnove nechyotokoy logiki [Development of a simulation model o f a virtual village using a fuzzy logic-based decision-making system]. Nauchnyy Almanakh [Scientific Almanac], 2019, No 5-2 (55), pp. 35-41. (In Russ). 12. Korchevskaya, O. V., & Bobrovskiy, V. E. Razrabotka agent-orientirovannoj modeli i programmnogo obespecheniya trudovoj migracii naseleniya [Development o f agent-oriented model and software o f labor migration ofthe population]. Nauchno-tekhnicheskij vestnikPovolzh'ya [Scientific and technical volga region bulletin], 2023, No 8 , Pp. 74-77. (In Russ.). 13. Nizamutdinov, M. M., Ahmetzyanova, M. I. Podhod k modelirovaniyu vzaimovliyaniya migracionnoj aktivnosti naseleniya i ekonomicheskogo razvitiya regiona s primeneniem nechetkoj logiki, geoinformacionnyh tekhnologij i agent-orientirovannogo modelirovaniya [An approach to modeling the interaction of migration activity of the population and economic development of the region using fuzzy logic, geoinformation technologies and agent-oriented modeling]. Sistemnoe modelirovanie social'no-ekonomicheskih processov : trudy 46-oj Mezhdunarodnoj nauchnoj shkoly-seminara, Ufa, 09-15 oktyabrya 2023 goda [System modeling o f socio-economic processes : proceedings o f the 46th International Scientific School Seminar]. Voronezh: Istoki Publishing House, 2024, Pp. 91-97. doi: 10.5281/zenodo.10938968. (In Russ.). 14. Liu S., Triantis K.P., Sarangi S. Representing qualitative variables and their interactions with fuzzy logic in system dynamics modeling. Systems Research and Behavioral Science, 2011, Vol. 28, pp. 245-263. https://doi.org/10.1002/sres.1064. 15. Seresht N.G., Fayek A.R. Neuro-fuzzy system dynamics technique for modeling construction systems. Applied Soft Computing, 2020, Vol. 93, 106400. https://doi.org/10.1016Zj.asoc.2020.106400. Труды Кольского научного центра РАН. Серия: Технические науки. 2024. Т. 15, № 3. С. 69-81. Transactions of the Kola Science Centre of RAS. Series: Engineering Sciences. 2024. Vol. 15, No. 3. P. 69-81. © Неупокоева Е. О., Малыгина С. Н., Быстров В. В., 2024 80