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 |
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| Lenguaje: | EN |
| Publicado: |
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis
2020
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/41231c97fa7b4481b5a46381083d4548 |
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| Sumario: | 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. |
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