{"id":2512,"date":"2025-06-23T10:56:52","date_gmt":"2025-06-23T09:56:52","guid":{"rendered":"http:\/\/newskbncran.ru\/?page_id=2512"},"modified":"2026-06-04T09:36:15","modified_gmt":"2026-06-04T08:36:15","slug":"27-2-5-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/27-2-5-en\/","title":{"rendered":"27.2.5 en"},"content":{"rendered":"\n

Computer modeling in the Maple environment of dynamic processes under uncertainty conditions using a meteorological problem as an example<\/strong><\/h2>\n\n\n\n

O.B. Kudrinskaya, R.I. Parovik<\/strong><\/strong><\/p>\n\n\n\n

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Abstract<\/em><\/strong>. \u0421omputer modeling of weather conditions based on atmospheric pressure data is carried out \u0448n 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.<\/p>\n\n\n\n

Keywords<\/em><\/strong>:<\/strong> model, fuzzy sets, integral ranking indices, uncertainty, algorithm, Maple2021, atmospheric pressure, weather<\/p>\n\n\n\n

For citation<\/strong>.<\/strong> 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\u201385. DOI: 10.35330\/1991-6639-2025-27-2-74-85<\/p>\n\n\n\n

R<\/strong>eferences<\/summary>\n
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  10. Aprianti W., Mukhlash I. The application of rough set and fuzzy rough set based algorithm to classify incomplete meteorological data. 2014 International Conference on Data and Software Engineering (ICODSE)<\/em>. IEEE, 2014. Pp. 1\u20136.<\/li>\n\n\n\n
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  13. \u0422\u0440\u0443\u0441\u043e\u0432 \u041f. \u0412.<\/em> \u0412\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0432 \u043c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0435 \u043c\u043e\u0434\u0435\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435. \u041c.: \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0441\u043a\u0430\u044f \u043a\u043d\u0438\u0433\u0430, \u041b\u043e\u0433\u043e\u0441, 2007. 440 \u0441. Trusov P.V. Vvedeniye v matematicheskoye modelirovaniye<\/em> [Introduction to mathematical modeling]. Moscow: Universitetskaya kniga, Logos. 2007. 440 p.  (In Russian)<\/li>\n\n\n\n
  14. Kudrinskaya O.V. Application of the tablective processor while solving the optimization  problems.  Vestnik  KRAUNC.  Fiz.-Mat.  Nauki<\/em>.  2017.  No. 1(17).  Pp. 68\u201381. DOI: 10.18454\/2079-6641-2017-17-1-68-81<\/li>\n\n\n\n
  15. Mazandarani M., Xiu L. A review on fuzzy differential equations. IEEE access<\/em>. 2021. Vol. 9. Pp. 62195\u201362211. DOI: 10.1109\/ACCESS.2021.3074245<\/li>\n\n\n\n
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    Information about the authors<\/strong><\/summary>\n
    \n

    Olga V. Kudrinskaya<\/strong>, Post-graduate Student, Vitus Bering Kamchatka State University;<\/p>\n\n\n\n

    683032, Russia, Petropavlovsk-Kamchatsky, 4 Pogranichnaya street;<\/p>\n\n\n\n

    kudrinskayakam2020@gmail.com, ORCID: https:\/\/orcid.org\/0009-0008-5874-0534, SPIN-code: 4892-1103<\/p>\n\n\n\n

    Roman I. Parovik<\/strong>, 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;<\/p>\n\n\n\n

    683032, Russia, Petropavlovsk-Kamchatsky, 4 Pogranichnaya street;<\/p>\n\n\n\n

    parovik@ikir.ru, ORCID: https:\/\/orcid.org\/0000-0002-1576-1860, SPIN-code: 4295-6894<\/p>\n<\/div>\n<\/details>\n","protected":false},"excerpt":{"rendered":"

    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 Abstract. \u0421omputer modeling of weather conditions based on atmospheric pressure data is carried out \u0448n the article with the help of the theory of fuzzy sets. An algorithm was implemented for calculating […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"wp-custom-template-home","meta":{"footnotes":""},"class_list":["post-2512","page","type-page","status-publish","hentry"],"yoast_head":"\n27.2.5 en - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/izvestiyakbncran.ru\/index.php\/en\/27-2-5-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"27.2.5 en - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb\" \/>\n<meta property=\"og:description\" content=\"Computer modeling in the Maple environment of dynamic processes under uncertainty conditions using a meteorological problem as an example O.B. 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