Fuzzy Logic-Based Weather Forecasting System Developed in MATLAB

I have developed a fuzzy logic-based weather forecasting system implemented in MATLAB, which utilizes fuzzy inference techniques and simulation approaches to predict meteorological conditions. The system's primary objective is to deliver more accurate and reliable weather forecasts to assist individuals in better preparing for various weather scenarios. Through fuzzy inference implementation, the system processes multiple meteorological parameters using membership functions and rule-based decision making - including temperature, humidity, atmospheric pressure, wind speed, and precipitation levels - to generate enhanced prediction outcomes. The MATLAB implementation employs fuzzy logic toolbox functions such as fis (Fuzzy Inference System) for rule establishment and evalfis for inference execution. Additionally, the system incorporates simulation techniques to model scenarios under different weather conditions, utilizing MATLAB's Simulink environment for dynamic system modeling, thereby improving forecast reliability through virtual scenario testing. The code architecture includes fuzzy rule base design, defuzzification methods like centroid calculation, and sensitivity analysis modules. In summary, this fuzzy weather forecasting system serves as a valuable tool with practical implementation in MATLAB, featuring comprehensive fuzzy logic operations and simulation components to enhance weather adaptation strategies.