The determination of factors that influence the noise pollution in Malaysia using fuzzy logic / Nur Afifah Zainol Abidin
The aim of this study is to determine the factor that influences noise pollution in Malaysia through the use of 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...
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| Format: | Student Project |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/44392/1/44392.pdf https://ir.uitm.edu.my/id/eprint/44392/ |
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| Institution: | Universiti Teknologi Mara |
| Language: | English |
| Summary: | The aim of this study is to determine the factor that influences noise pollution in Malaysia through the use of 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 sleep disturbance, hearing loss, annoyance, and stress. There are many factors that can cause noise pollution. 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 Rule-Based, Fuzzy Inference Method and Defuzzification. In Defuzzification which is the last stage for Fuzzy logic, Centroid method were being used since it can give a result with more accurate and flexible. This study used road traffic noise, aircraft noise, industrial and manufacturing noise and commercial construction as factors for noise pollution, as well as input variables in this study. This method was used to determine which factors have the most influence on noise pollution. The results of this study shows that road traffic noise and industrial and manufacturing noise were factors which had an impact on noise pollution with a maximum value of 82. This shows, therefore, that the aim of this study has been achieved. Keywords: Noise Pollution, Fuzzy Logic, Centroid Method, Road Traffic Noise, Industrial and Manufacturing Noise, Commercial Construction, Aircraft Noise |
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