Optimal air quality management using novel dual Mamdani and neuro fuzzy inference system for real-time accurate prediction

Abstract

An accurate measure of the quality of the air in any given location is the air quality index(AQI). When calculating the AQI, important air pollutants such as SO2, NO2, ground-level O3, CO, and particle matter are taken into account. Numerous organizations worldwide compute these indices based on a range of parameters. In India, the Central Pollution Control Board(CPCBs) and State Pollution Control Board (SPCBs) monitor the air quality. Every pollutant is assigned a sub-index, and the aggregate of all these sub-indices is known as the AQI. Poor, fair, or acceptable air quality can be conveyed linguistically using the AQI, which is a numerical value. When the AQI rises, it is anticipated that a considerable segment of the population may have major health effects. The current research’s aims to calculate the levels of air pollutants in Raipur's four major parts of cities from December 21, 2023, to March 27, 2024. The traditional AQI is calculated using an equation. To determine the fuzzy air quality index, a fuzzy logic system is used, and membership functions are provided as input to the Noval Dual Mamdani fuzzy inference system (FIS). As a result, the research suggests a more dependable method for computing the fuzzy air quality index using fuzzy logic.