Python Approach for Global Air Quality Assessment Using a Mamdani Fuzzy Inference System
This study assesses air quality across 15 major cities worldwide using a Python-based Mamdani Fuzzy Inference System (FIS). The analysis integrates six pollutants—PM₂.₅, PM₁₀, NO₂, SO₂, CO, and O₃—from the selected global-city dataset. Each pollutant is represented through linguistic categories, and a set of fuzzy rule...