Computer modeling in the Maple environment of dynamic processes under uncertainty conditions using a meteorological problem as an example
O.B. Kudrinskaya, R.I. Parovik
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Abstract: Сomputer modeling of weather conditions based on atmospheric pressure data is carried out шn the article with the help of the theory of fuzzy sets. An algorithm was implemented for calculating integral ranking indices for fuzzy sets that characterize weather conditions in the computer mathematics program Maple2021, with the help of the LinearAlgebra library. It was shown that if the atmospheric pressure is not very high, the next day will be “sunnier”, than in the case when the pressure is “very low”. It was confirmed that integral ranking indices give more accurate information than deterministic ranking indices.
Keywords: model, fuzzy sets, integral ranking indices, uncertainty, algorithm, Maple2021, atmospheric pressure, weather
For citation. Kudrinskaya O.B., Parovik R.I. Computer modeling in the Maple environment of dynamic processes under uncertainty conditions using a meteorological problem as an example. News of the Kabardino-Balkarian Scientific Center of RAS.2025. Vol. 27. No. 2. Pp. 74–85. DOI: 10.35330/1991-6639-2025-27-2-74-85
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Information about the authors
Olga V. Kudrinskaya, Post-graduate Student, Vitus Bering Kamchatka State University;
683032, Russia, Petropavlovsk-Kamchatsky, 4 Pogranichnaya street;
kudrinskayakam2020@gmail.com, ORCID: https://orcid.org/0009-0008-5874-0534, SPIN-code: 4892-1103
Roman I. Parovik, Doctor of Physical and Mathematical Sciences, Associate Professor, Professor, Far Eastern Branch of the Russian Academy of Sciences, Professor of the Department of Computer Science and Mathematics, Vitus Bering Kamchatka State University;
683032, Russia, Petropavlovsk-Kamchatsky, 4 Pogranichnaya street;
parovik@ikir.ru, ORCID: https://orcid.org/0000-0002-1576-1860, SPIN-code: 4295-6894