Geodesic
Computer modeling in the Maple environment of dynamic processes
News of the Kabardin-Balkar scientific center of RAS, Tome 27 (2025) no. 2, pp. 74-85.

Voir la notice de l'article provenant de la source Math-Net.Ru

. 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 
@article{IZKAB_2025_27_2_a4,
     author = {O. V. Kudrinskaya and R. I. Parovik},
     title = {Computer modeling in the {Maple} environment of dynamic processes},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {74--85},
     publisher = {mathdoc},
     volume = {27},
     number = {2},
     year = {2025},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2025_27_2_a4/}
}
TY  - JOUR
AU  - O. V. Kudrinskaya
AU  - R. I. Parovik
TI  - Computer modeling in the Maple environment of dynamic processes
JO  - News of the Kabardin-Balkar scientific center of RAS
PY  - 2025
SP  - 74
EP  - 85
VL  - 27
IS  - 2
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/IZKAB_2025_27_2_a4/
LA  - ru
ID  - IZKAB_2025_27_2_a4
ER  - 
%0 Journal Article
%A O. V. Kudrinskaya
%A R. I. Parovik
%T Computer modeling in the Maple environment of dynamic processes
%J News of the Kabardin-Balkar scientific center of RAS
%D 2025
%P 74-85
%V 27
%N 2
%I mathdoc
%U http://geodesic.mathdoc.fr/item/IZKAB_2025_27_2_a4/
%G ru
%F IZKAB_2025_27_2_a4
O. V. Kudrinskaya; R. I. Parovik. Computer modeling in the Maple environment of dynamic processes. News of the Kabardin-Balkar scientific center of RAS, Tome 27 (2025) no. 2, pp. 74-85. http://geodesic.mathdoc.fr/item/IZKAB_2025_27_2_a4/

[1] L. A. Zadeh, “Fuzzy sets”, Information and Control, 8:3 (1965), 338–353

[2] D. J. Dubois, Fuzzy sets, systems: theory and applications, Academic press, New York, 1980, 144 pp.

[3] L. A. Zadeh, R. A. Aliev, Fuzzy logic theory, and applications, v. I, II, World Scientific Publishing, 2018 | DOI

[4] M. G. Voskoglou, “Fuzzy sets, fuzzy logic and their applications”, MDPI, 2020 | DOI

[5] W. Pedrycz, “An introduction to computing with fuzzy sets”, IEEE ASSP Magazine, 190 (2021), 283 pp.

[6] Y. Kazančoǧlu, “Applying fuzzy logic to the assessment of latent economic features”, Advances in soft computing applications, 2023, 1–21 | DOI

[7] A. Suzuki, E. Negishi, “Fuzzy logic systems for healthcare applications”, Journal of Biomedical and Sustainable Healthcare Applications, 4:1 (2024) | DOI

[8] H. Cao, G. Chen, “Some applications of fuzzy sets to meteorological forecasting”, Fuzzy Sets and Systems, 9:1-3 (1983), 1–12

[9] V. Gómez, A. Casanovas, “Fuzzy logic and meteorological variables: a case study of solar irradiance”, Fuzzy Sets and Systems, 126:1 (2002), 121–128

[10] W. Aprianti, I. Mukhlash, “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), IEEE, 2014, 1–6

[11] Małolepsza O, Mikołajewski D., Prokopowicz P., “Using fuzzy logic to analyse weather conditions”, Electronics, 14:1 (2025), 85

[12] I. Thompson, Understanding Maple, Cambridge University Press, UK, 2016, 228 pp.

[13] P. V. Trusov, Introduction to mathematical modeling, Universitetskaya kniga, Logos, 2007, 440 pp. (In Russian)

[14] O. V. Kudrinskaya, “Application of the tablective processor while solving the optimization problems”, Vestnik KRAUNC. Fiz. Mat. Nauki, 2017, no. 1 (17), 68–81 | DOI

[15] M. Mazandarani, L. Xiu, “A review on fuzzy differential equations”, IEEE access, 9 (2021), 62195–62211 | DOI

[16] M. Mazandarani, M. Najariyan, “Fuzzy differential equations: conceptual interpretations”, Evolutionary Intelligence, 17:1 (2024), 441–456 | DOI