Zastosowanie logiki rozmytej w analizie warunków pogodowych

• Autorzy: Małolepsza Olga , Prokopowicz Piotr , Mikołajewski Dariusz

Identyfikatory

DOI

10.34767/SIMIS.2025.01.01

Warianty tytułu

EN

Application of fuzzy logic in the analysis of weather conditions

• Języki publikacji: PL

Abstrakty

PL

Tematem artykułu jest wykorzystanie logiki rozmytej w procesie rozpoznawania i analizy warunków pogodowych. System rozmyty, który wykorzystano do rozpoznawania pogody, został stworzony przy użyciu Matlaba, w aplikacji Fuzzy Logic Designer, skupiając się naintegracji logiki rozmytej i technik sztucznej inteligencji (AI), pokazując możliwości oferowane przez systemy AI w zarządzaniu niepewnością. Model rozpoznawania pogody wykorzystuje trzy zmienne wejściowe w postaci maksymalnej temperatury, minimalnej temperatury i wiatru, a także 35 reguł, które generują prognozę pogody, a mianowicie opady, które mogą być bardzo niskie, niskie,normalne, wysokie i bardzo wysokie.

EN

The topic of this paper is the use of fuzzy logic in the recognition and analysis of weather conditions. The fuzzy system used for weather recognition was created using Matlab, in the Fuzzy Logic Designer application, focusing on the integration of fuzzy logic and artificial intelligence (AI) techniques, demonstrating the possibilities offered by AI systems in managing uncertainty. The weather recognition model uses three input variables in the form of maximum temperature, minimum temperature and wind, as well as 35 rules that generate a weather forecast, namely precipitation, which can be very low, low, normal, high and very high.

Słowa kluczowe

PL

logika rozmyta; analiza pogody; Matlab; sztuczna inteligencja; Mamdani; zbiory rozmyte

EN

fuzzy logic; weather analysis; Matlab; artificial intelligence; Mamdani; fuzzy sets

• Wydawca: Instytut Informatyki Uniwersytet Kazimierza Wielkiego
• Czasopismo: Studia i Materiały Informatyki Stosowanej
• Rocznik: 2025
• Tom: T. 17, nr 1
• Strony: 5--13
• Opis fizyczny: Bibliogr. 41 poz., rys., tab.

Twórcy

autor

Małolepsza Olga

• Uniwersytet Kazimierza Wielkiego Wydział Informatyki ul. Kopernika 1, 85-064 Bydgoszcz

autor

Prokopowicz Piotr

• Uniwersytet Kazimierza Wielkiego Wydział Informatyki ul. Kopernika 1, 85-064 Bydgoszcz

autor

Mikołajewski Dariusz

• Uniwersytet Kazimierza Wielkiego Wydział Informatyki ul. Kopernika 1, 85-064 Bydgoszcz

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).