FUZZY INFERENCE SYSTEMS FOR ESTIMATION OF AIR QUALITY INDEX

摘要

The paper provides a reliable method in assessing the Air Quality Index (AQI) by em- ploying fuzzy logic. Long-time series of sulfur dioxide (SO2), nitrogen dioxide (NO2) and particulate matter (PM10) obtained through continuous monitoring at Romanian Targovis ?te DB-1 station were inputted in a Mamdani fuzzy inference system (FIS) ob- taining the AQI output in a more comprehensive matter. The rules were structured by level of air pollutants concentration. All defined rules were evaluated in parallel in a ran- dom order. The triangular and trapezoidal membership functions fitted to the intended purpose of computational efficiency. The AQI synthetic indicator allows the user a quick interpretation of the status of the surrounding air in residential areas.