Air quality assessment using weighted interval type-2 fuzzy inference system

摘要

This paper presents an integrated model based on interval type-2 fuzzy reasoning approach and interval type-2 fuzzy analytic hierarchy process for assessment of air quality in urban areas. In the proposed model, interval type-2 fuzzy reasoning approach is employed to determine impacts of different air pollutants to describe complex relationship between air pollutants and air quality index by considering individual weights of different air pollutants through the aggregation of toxicological impacts and concentration level of different air pollutants using interval type-2 fuzzy analytic hierarchy process. The proposed approach is advantageous over its counterparts to model the inter-personal and intra-personal uncertainties involved in classification of air quality index. Finally, the developed air quality assessment model is applied on the historical data set collected from ambient air quality monitoring stations operating near by the Victoria memorial, in Kolkata Metropolitan area. The study shows that the air quality index increased significantly during the festive season due to extensive fireworks in those areas.