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
Recommended Citation
Teologo, A. T., Dadios, E. P., Neyra, R. Q., & Javel, I. M. (2019). Air quality index (AQI) classification using CO and NO2 pollutants: A fuzzy-based approach. IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2018-October, 194-198. https://doi.org/10.1109/TENCON.2018.8650344
Disciplines
Manufacturing
Keywords
Air quality; Carbon monoxide; Nitrogen dioxide
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