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HERO ID
1256361
Reference Type
Journal Article
Title
Classification of air quality using fuzzy synthetic multiplication
Author(s)
Abdullah, L; Khalid, ND
Year
2012
Is Peer Reviewed?
Yes
Journal
Environmental Monitoring and Assessment
ISSN:
0167-6369
EISSN:
1573-2959
Volume
184
Issue
11
Page Numbers
6957-6965
Language
English
PMID
22160435
DOI
10.1007/s10661-011-2472-1
Web of Science Id
WOS:000309476100038
Abstract
Proper identification of environment's air quality based on limited observations is an essential task to meet the goals of environmental management. Various classification methods have been used to estimate the change of air quality status and health. However, discrepancies frequently arise from the lack of clear distinction between each air quality, the uncertainty in the quality criteria employed and the vagueness or fuzziness embedded in the decision-making output values. Owing to inherent imprecision, difficulties always exist in some conventional methodologies when describing integrated air quality conditions with respect to various pollutants. Therefore, this paper presents two fuzzy multiplication synthetic techniques to establish classification of air quality. The fuzzy multiplication technique empowers the max-min operations in "or" and "and" in executing the fuzzy arithmetic operations. Based on a set of air pollutants data carbon monoxide, sulfur dioxide, nitrogen dioxide, ozone, and particulate matter (PM(10)) collected from a network of 51 stations in Klang Valley, East Malaysia, Sabah, and Sarawak were utilized in this evaluation. The two fuzzy multiplication techniques consistently classified Malaysia's air quality as "good." The findings indicated that the techniques may have successfully harmonized inherent discrepancies and interpret complex conditions. It was demonstrated that fuzzy synthetic multiplication techniques are quite appropriate techniques for air quality management.
Keywords
Air quality index; Air quality management; Fuzzy synthetic evaluation; Environmental monitoring; Fuzzy sets
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ISA-Ozone (2020 Final Project Page)
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