{"id":2512,"date":"2025-06-23T10:56:52","date_gmt":"2025-06-23T09:56:52","guid":{"rendered":"http:\/\/newskbncran.ru\/?page_id=2512"},"modified":"2026-04-13T09:36:15","modified_gmt":"2026-04-13T08:36:15","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<h1 class=\"wp-block-heading has-lora-font-family\" style=\"font-size:24px\"><strong>Computer modeling in the Maple environment of dynamic processes under uncertainty conditions using a meteorological problem as an example<\/strong><\/h1>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-069c0f5c55b84d7ad50341b3e0ef3c25\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\"><strong><strong>O.B. Kudrinskaya, R.I. Parovik<\/strong><\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20)\"\/>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-24a27e19 wp-block-group-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<p class=\"has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-fa99f84d8051eb763ab85c3007cdb1c2\" style=\"color:#5b1919;text-decoration:underline\"><strong><strong>Upload the full text<\/strong><\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-9151b400 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-15bf754d wp-block-buttons-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-100 is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-background-background-color has-text-color has-background has-link-color has-border-color has-small-font-size has-custom-font-size wp-element-button\" href=\"http:\/\/izvestiyakbncran.ru\/wp-content\/uploads\/2025\/06\/kudrinskaya-parovik-5.pdf\" style=\"border-color:#5b1919;border-style:solid;border-width:2px;border-radius:8px;color:#5b1919;padding-top:0.4rem;padding-right:var(--wp--preset--spacing--40);padding-bottom:0.4rem;padding-left:var(--wp--preset--spacing--40)\">PDF<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:0px;width:0px\" aria-hidden=\"true\" class=\"wp-block-spacer wp-container-content-273e683f\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-f558929a878837f162ed34c54b1c4b65\" style=\"line-height:1.4\"><strong style=\"font-weight: bold;\"><em>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 &#171;sunnier&#187;, than in the case when the pressure is &#171;very low&#187;. It was confirmed that integral ranking indices give more accurate information than deterministic ranking indices.<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-70fffec4aba5dde435b17fee063403b8\" style=\"line-height:1.4\"><strong><strong><em>Keywords<\/em><\/strong>:<\/strong> model, fuzzy sets, integral ranking indices, uncertainty, algorithm, Maple2021, atmospheric pressure, weather<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-4eeaec0d6694c538c2904fcc6b5b4b23\" style=\"font-size:12px;line-height:1.4\"><strong><strong>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<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-c4bb48a06e4215b0d5213e110def090b is-layout-flow wp-container-core-details-is-layout-0ab540ad wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>R<\/strong>eferences<\/summary>\n<ol style=\"margin-top:0;margin-bottom:0\" class=\"wp-block-list\">\n<li style=\"font-style:normal;font-weight:400\">Zadeh L.A. Fuzzy sets. <em>Information and Control<\/em>. 1965. Vol. 8. No. 3. Pp. 338\u2013353.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Dubois D.J. Fuzzy sets and systems: theory and applications. New York: Academic press, 1980. Vol. 144.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Zadeh L.A., Aliev R.A. Fuzzy logic theory and applications: part I and part II. World Scientific Publishing, 2018. DOI: 10.1142\/10936<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Voskoglou M.G. Fuzzy sets, fuzzy logic and their applications. <em>MDPI<\/em>, 2020. DOI: 10.3390\/books978-3-03928-521-1<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Pedrycz W. An introduction to computing with fuzzy sets. <em>IEEE ASSP Magazine<\/em>. 2021. Vol. 190. 283 p.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Yankovyi O., Tsimoshynska O., Koval V., Kazan\u00e7o\u011flu Y. Applying fuzzy logic to the assessment of latent economic features. <em>Advances in soft computing applications<\/em>. 2023. Pp. 1\u201321. DOI:&nbsp;10.1201\/9781003425885-1<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Suzuki A., Negishi E. Fuzzy logic systems for healthcare applications. <em>Journal of Biomedical<\/em><em> and Sustainable Healthcare Applications<\/em>. 2024. Vol. 4. No. 1. DOI: 10.53759\/0088\/jbsha20240401<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Cao H., Chen G. Some applications of fuzzy sets to meteorological forecasting. <em>Fuzzy Sets and Systems.<\/em> 1983. Vol. 9. No. 1\u20133. Pp. 1\u201312.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">G\u00f3mez V., Casanovas A. Fuzzy logic and meteorological variables: a case study of solar irradiance. <em>Fuzzy Sets and Systems<\/em>. 2002. Vol. 126. No. 1. Pp. 121\u2013128.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Aprianti W., Mukhlash I. The application of rough set and fuzzy rough set based algorithm to classify incomplete meteorological data. <em>2014 International Conference on Data and Software Engineering (ICODSE)<\/em>. IEEE, 2014. Pp. 1\u20136.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Ma\u0142olepsza O., Miko\u0142ajewski D., Prokopowicz P. Using fuzzy logic to analyse weather conditions. <em>Electronics.<\/em> 2025. Vol. 14. No. 1. P. 85.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Thompson I. Understanding Maple. UK: Cambridge University Press, 2016. 228 p.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\"><em>\u0422\u0440\u0443\u0441\u043e\u0432 \u041f.&nbsp;\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. <em>Vvedeniye v matematicheskoye modelirovaniye<\/em> [Introduction to mathematical modeling]. Moscow: Universitetskaya kniga, Logos. 2007. 440 p.&nbsp; (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Kudrinskaya O.V. Application of the tablective processor while solving the optimization &nbsp;problems. &nbsp;<em>Vestnik &nbsp;KRAUNC. &nbsp;Fiz.-Mat. &nbsp;Nauki<\/em>. &nbsp;2017. &nbsp;No. 1(17). &nbsp;Pp. 68\u201381. DOI: 10.18454\/2079-6641-2017-17-1-68-81<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Mazandarani M., Xiu L. A review on fuzzy differential equations. <em>IEEE access<\/em>. 2021. Vol. 9. Pp. 62195\u201362211. DOI:&nbsp;10.1109\/ACCESS.2021.3074245<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Mazandarani M., Najariyan M. Fuzzy differential equations: conceptual interpretations. <em>Evolutionary Intelligence<\/em>. 2024. Vol. 17. No. 1. Pp. 441\u2013456. DOI:&nbsp;10.1007\/s12065-022-00716-z<\/li>\n<\/ol>\n<\/details>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-c5e927f82ef4855fe8fe74eaf02e8838 is-layout-flow wp-container-core-details-is-layout-5dafc681 wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>Information about the authors<\/strong><\/summary>\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-b291ae12 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--20);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--20);padding-left:var(--wp--preset--spacing--40)\">\n<p style=\"font-style:normal;font-weight:400\"><strong>Olga V. Kudrinskaya<\/strong>, Post-graduate Student, Vitus Bering Kamchatka State University;<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\">683032, Russia, Petropavlovsk-Kamchatsky, 4 Pogranichnaya street;<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\">kudrinskayakam2020@gmail.com, ORCID: https:\/\/orcid.org\/0009-0008-5874-0534, SPIN-code: 4892-1103<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><strong>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<p style=\"font-style:normal;font-weight:400\">683032, Russia, Petropavlovsk-Kamchatsky, 4 Pogranichnaya street;<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\">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":"<p>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 Upload the full text 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 [&hellip;]<\/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":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>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<\/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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Kudrinskaya, R.I. Parovik Upload the full text 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. 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