Python Approach for Global Air Quality Assessment Using a Mamdani Fuzzy Inference System
M. Kaliraja, K. Perarasan & S. Ilavarasi · Asian Journal of Research in Computer Science · 2026
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 lingui...
Open access
Research Article
10.9734/ajrcos/2026/v19i8900