Forecasting Ambient Air Pollution of Ludhiana, Punjab Based on Mamdani Inference System
Keywords:
Mamdani, Fuzzy Inference System, Air Quality Index, Air Pollution, Ambient AirAbstract
Air is a necessity for living things to survive, and a drastic change has taken place in the air pollution levels due to pandemics. The prediction of air pollution in ambient air had become a requirement to save mankind and other living things. This paper presents a system for prediction of ambient air quality. The proposed system is based on the Mamdani Fuzzy Inference (MFI) system. The required input data is collected from the specific area of Ludhiana, Punjab (India). The pollutants covered are Ammonia, PM2.5 µm, PM10 µm, Carbon Monoxide, and Sulfur Dioxide. Around fifty rules were framed in this model for the day-to-day prediction process. The results were obtained and compared by correlation, Index of Agreement (IOA), Mean Absolute (MA) Percentage error, Mean Absolute (MA) error, and Root Mean Square (RMS) error, where the correlation of min-max was 0.9268 depicts the positive results. The results were found to be approximately 93% accurate to the real values.
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