BibTeX:

@article{IJIRSTV1I11001,
     title={Fuzzy MCDM approach for Air Quality Assessment},
     author={Mrs. Karishma Chitnis, Mrs.Dr.Anjali.K.Khambete, Mr. Gowtham.Sarella and Mr. Randhavane Shrikant },
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={11},
     pages={59--65},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I11001.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Due to industrialization and urbanization rate of air pollution is raising in developing countries which has given need to work out Air quality Indices which gives single value with respect to its effects on the human health due to air pollution. The vagueness related to classification of concentration of different pollutants for calculation of AQI depend on location is to be used leads to limitation of general AQI method. To deal with such limitation in this study Fuzzy MCDM approach has been used for AQI calculation using case study for vapi area (one location) for duration of March 2013- February 2014.It includes six pollutants(PM10, PM2.5, NOx, CO, SO2, O3) for AQI calculation. Depending on result Fuzzy MCDM approach for Air Quality assessment can be considered as effective tool.

Air Pollution, Air Quality Index, Fuzzy logic, MCDM, Fuzzy set