At present, maximum operating function-based national air quality indexing (NAQI) system use in India. The limitation of the present air quality indexing system is that they only represent the level of one pollutant at a time, i.e., the index value is based on the concentration of only one pollutant. Hence, it cannot showwhether more than one pollutant simultaneously exceeds the daily national ambient air quality standards (NAAQS) or not. This seems a bit arbitrary and over-simplified,especially in the context of such severe pollution concerns. To overcome the limitations of the present NAQI, there is a necessity to develop a new composite air quality index, considering various factors such as an appropriate method of indexing without ambiguity and eclipsing, aggregation of pollutants and number of pollutants as maximum as possible to be monitored. The fuzzy sets theory is very helpful in handling uncertainty in the assessment of air quality. So,
there is a need to develop Fuzzy-analytical hierarchical process (F-AHP) Air Quality Health Index (AQHI)
