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

Authors

  • Mohd Fazril Izhar Mohd Idris Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Nur Afifah Zainol Abidin Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Khairu Azlan Abd Aziz Universiti Teknologi MARA, Perlis Branch, Arau Campus

DOI:

https://doi.org/10.24191/jcrinn.v5i2.137

Keywords:

noise pollution, fuzzy logic, centroid method, road traffic noise, aircraft noise

Abstract

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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References

Ankita, I. K., Devika, G., Lakshmi Priya, K., Remya, R., & Jayamohan, J. (2016). Applications Of Geosynthetics In Embankments- A Review. International Advanced Research Journal In Science, Engineering, And Technology (IARJSET), 5(1), 31–41.

Anna, L., Blangiardo, M., Fortunato, L., Floud, S., De Hoogh, K., Fecht, D., Ghosh, R. E., Laszlo, H. E., Pearson, C., Beale, L., Beevers, S., Gulliver, J., Best, N., Richardson, S., & Elliott, P. (2013). Aircraft Noise And Cardiovascular Disease Near Heathrow Airport In London: Small Area Study. BMJ (Online), 347(7928), 9–12.

De, S. K., Swain, B. K., Goswami, S., & Das, M. (2017). Adaptive Noise Risk Modelling: Fuzzy Logic Approach. Systems Science And Control Engineering, 5(1), 129–141.

Muhammad Anees, M., Qasim, M., & Bashir, A. (2017). Physiological And Physical Impact Of Noise Pollution On Environment. Earth Sciences Pakistan, 1(1), 8–10.

Pyko, A., Eriksson, C., Lind, T., Mitkovskaya, N., Wallas, A., Ögren, M., Östenson, C.-G., & Pershagen, G. (2017). Long-Term Exposure To Transportation Noise In Relation To Development Of Obesity-A Cohort Study. Https://Doi.Org/10.1289/EHP1910

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Published

2020-10-15

How to Cite

Mohd Idris, M. F. I., Zainol Abidin, N. A., & Abd Aziz, K. A. (2020). The Determination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic. Journal of Computing Research and Innovation, 5(2), 1–10. https://doi.org/10.24191/jcrinn.v5i2.137

Issue

Section

General Computing

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