Using Fuzzy Logic to Analyse Weather Conditions

Effective weather analysis is a very important scientific, social, and economic issue, because weather directly affects our lives and has a significant impact on various sectors, including agriculture, transport, energy, and natural disaster management. Weather analysis is therefore the basis for the operation of many decision-making support systems, especially in transport (air, sea), ensuring the continuity of supply chains for industry or the delivery of food and medicines, but also municipal economies or tourism. Its role and importance will grow with the worsening of climatic phenomena and the development of the Industry5.0 paradigm, which puts humans and their environment at the center of attention. This article presents issues related to fuzzy sets and systems and presents a weather analysis model based on them. The fuzzy system was created using Matlab, in the Fuzzy Logic Designer application, focusing on fuzzy logic. With Fuzzy Logic Designer, users can define fuzzy sets, rules, and carry out fuzzification and defuzzification processes, thereby offering great possibilities in data management.