Open AccessDetermination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic
Author(s) -
Mohd Fazril Izhar Mohd Idris,
Nurul Auni Zainal Abidin,
Khairu Azlan Abd Aziz
Publication year - 2020
Publication title -
journal of computing research and innovation
Language(s) - English
Resource type - Journals
ISSN - 2600-8793
DOI - 10.24191/jcrinn.v5i2.137
Subject(s) - noise pollution , noise (video) , pollution , fuzzy logic , defuzzification , computer science , environmental science , engineering , fuzzy set , statistics , mathematics , noise reduction , artificial intelligence , fuzzy number , ecology , image (mathematics) , biology
Nowadays, the economy of our country hasincreased, 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. Noisepollution was an unpleasant sound that could have a negative impact on human health, suchas sleepdisturbance, hearing loss, annoyance, and stress. There are many factors that can cause noise pollutionsuch as road traffic, aircraft, commercial construction, industrial and manufacturing noise.Therefore,the aim of this study is to determinethe factor that influences noise pollution in Malaysia using FuzzyLogic.The determination of factors that affect noise pollution in Malaysia using the Fuzzy Logicapproach 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 used since it can give a result with more accurate and flexible. This study used roadtraffic noise, aircraft noise, industrial and manufacturing noise and commercial construction as factorsfor noise pollution, as well as input variables. This method was used to determine which factors have themost influence on noise pollution. The results of this study show that road traffic noise and industrial andmanufacturing noise were factors which had an impact on noise pollution with a maximum value of 82.Thisshowsthat the aim of this study has been achieved.