The Determination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic

Nowadays, the economy of our country has increased, so the use of transport, whether on land or by air, has also increased. This will lead to noise pollution, which will have an impact on human health. Noise pollution was an unpleasant sound that could have a negative impact on human health, such as...

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Formato:	article
Lenguaje:	EN
Publicado:	Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis 2020
Materias:	Probabilities. Mathematical statistics QA273-280 Technology T Technology (General) T1-995
Acceso en línea:	https://doaj.org/article/41231c97fa7b4481b5a46381083d4548
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spelling	oai:doaj.org-article:41231c97fa7b4481b5a46381083d45482021-11-06T02:24:02ZThe Determination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic2600-8793https://doaj.org/article/41231c97fa7b4481b5a46381083d45482020-10-01T00:00:00Zhttp://repeater.my/index.php/jcrinn/article/view/137https://doaj.org/toc/2600-8793Nowadays, the economy of our country has increased, so the use of transport, whether on land or by air, has also increased. This will lead to noise pollution, which will have an impact on human health. Noise pollution was an unpleasant sound that could have a negative impact on human health, such as sleep disturbance, hearing loss, annoyance, and stress. There are many factors that can cause noise pollution such as road traffic, aircraft, commercial construction, industrial and manufacturing noise. Therefore, the aim of this study is to determine the factor that influences noise pollution in Malaysia using Fuzzy Logic. The determination of factors that affect noise pollution in Malaysia using the Fuzzy Logic approach includes the determination of input and output variables, Fuzzification, Fuzzy Ru le - Based, Fuzzy Inference Method and Defuzzification. In Defuzzification which is the last stage for Fuzzy logic, Centroid method used since it can give a result with more accurate and flexible. This study used road traffic noise, aircraft noise, industria l and manufacturing noise and commercial construction as factors for noise pollution, as well as input variables. This method was used to determine which factors have the most influence on noise pollution. The results of this study show that road traffic n oise and industrial and manufacturing noise were factors which had an impact on noise pollution with a maximum value of 82. This shows that the aim of this study has been achieved.Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA PerlisarticleProbabilities. Mathematical statisticsQA273-280TechnologyTTechnology (General)T1-995ENJournal of Computing Research and Innovation, Vol 5, Iss 2 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Probabilities. Mathematical statistics QA273-280 Technology T Technology (General) T1-995
spellingShingle	Probabilities. Mathematical statistics QA273-280 Technology T Technology (General) T1-995 The Determination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic
description	Nowadays, the economy of our country has increased, so the use of transport, whether on land or by air, has also increased. This will lead to noise pollution, which will have an impact on human health. Noise pollution was an unpleasant sound that could have a negative impact on human health, such as sleep disturbance, hearing loss, annoyance, and stress. There are many factors that can cause noise pollution such as road traffic, aircraft, commercial construction, industrial and manufacturing noise. Therefore, the aim of this study is to determine the factor that influences noise pollution in Malaysia using Fuzzy Logic. The determination of factors that affect noise pollution in Malaysia using the Fuzzy Logic approach includes the determination of input and output variables, Fuzzification, Fuzzy Ru le - Based, Fuzzy Inference Method and Defuzzification. In Defuzzification which is the last stage for Fuzzy logic, Centroid method used since it can give a result with more accurate and flexible. This study used road traffic noise, aircraft noise, industria l and manufacturing noise and commercial construction as factors for noise pollution, as well as input variables. This method was used to determine which factors have the most influence on noise pollution. The results of this study show that road traffic n oise and industrial and manufacturing noise were factors which had an impact on noise pollution with a maximum value of 82. This shows that the aim of this study has been achieved.
format	article
title	The Determination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic
title_short	The Determination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic
title_full	The Determination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic
title_fullStr	The Determination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic
title_full_unstemmed	The Determination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic
title_sort	determination of factors that influence the noise pollution in malaysia using fuzzy logic
publisher	Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis
publishDate	2020
url	https://doaj.org/article/41231c97fa7b4481b5a46381083d4548
_version_	1718443974193053696

The Determination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic

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