: The quality of air affects lives and the environment at large. Poor air quality has claimed
many lives and distorted the environment across the globe, and much more severely in African
countries where air quality monitoring systems are scarce or even do not exist. Here in Africa, dirty
air is brought about by the growth in industrialization, urbanization, flights, and road traffic. Air
pollution remains such a silent killer, especially in Africa, and if not dealt with, it will continue to lead
to health issues, such as heart conditions, stroke, and chronic respiratory organ unwellness, which
later result in death. In this paper, the Kampala Air Quality Index prediction model based on the
fuzzy logic inference system was designed to determine the air quality for Kampala city, according
to the air pollutant concentrations (nitrogen dioxide, sulphur dioxide and fine particulate matter
2.5). It is observed that fuzzy logic algorithms are capable of determining the air quality index and
therefore, can be used to predict and estimate the air quality index in real time, based on the given
air pollutant concentrations. Hence, this can reduce the effects of air pollution on both humans
and the environment.
