Volume No. 7 Issue No.: 1A Page No.: 484-495 July-September 2012

 

A FUZZY INFERENCE SYSTEM FOR AIR QUALITY IN USING MATLAB, CHENNAI, INDIA

 

Kumaravel R.*1 and Vallinayagam V.

1. SRM University, Career Development Centre, Kattankulathur, Chennai (INDIA) 2. Department of Mathematics, St.Joseph

 

Received on : April 25, 2012

 

ABSTRACT

 

Air quality is an important issue of relevance in the context of present times. The proposed model is designed to predict Air Quality Index (AQI) for Chennai in Tamil Nadu, India. A Fuzzy Inference System (FIS) simplifies and speed up the computation of AQI as compared to the currently existing standards. In this paper, the proposed model is compared with Indian Air Quality Index (IAQI) and it is found that the designed model results in accurate prediction. The earth’s atmosphere is a mixture of gases and particulate-phase substances. The most abundant of these, Nitrogen(N2) and Oxygen(O2), comprise approximately 78% and 21% respectively, of atmosphere mass and volume. Air quality can be defined qualitively. It is poor when cause a reduction in visibility, soil building surfaces and damage materials, damage crops and other plants, cause adverse health effects. It is deemed good when the sky appears clean and no adverse environmental effects are evident.

 

Keywords : Air Quality Index (AGI), Fuzzy logic, Fuzzy Inference System (FES), MATLAB

 

 

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