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K. Perarasan

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Open access Aug 2026

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...

M. Kaliraja, K. Perarasan, S. Ilavarasi · 0 citations

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