Air quality index (AQI) classification using CO and NO2 pollutants: A fuzzy-based approach

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Conference Proceeding

Source Title

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volume

2018-October

First Page

194

Last Page

198

Publication Date

2-22-2019

Abstract

This paper presents a classification algorithm for air quality index (AQI) using fuzzy logic (FL) system. AQI tells the level of cleanliness of the air and provides a corresponding health warning. In this study, two types of input pollutants are only considered which are the carbon monoxide (CO) and nitrogen dioxide (NO2). Each input is classified into six categories that include very low, low, moderate, high, very high and extremely high. Mamdani fuzzy inference system (FIS) is used to process the FL system giving an output of AQI values expressed in six categories: good, moderate, unhealthy for sensitive groups, unhealthy, very unhealthy and hazardous. Simulation is performed using MATLAB fuzzy logic toolbox, which provides effective and reliable results. © 2018 IEEE.

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Digitial Object Identifier (DOI)

10.1109/TENCON.2018.8650344

Disciplines

Manufacturing

Keywords

Air quality; Carbon monoxide; Nitrogen dioxide

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