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.
A Qur’an Reciting Competition evaluates a participant's performance based on several factors, including Tajweed, Tarannum, Fasohah, and Vocal Quality. Participants in the Qur’an Reciting Competition are usually assigned a point value of 100, with each point representing a linguistic word or label such as “Exceptional,†“Excellent,†“Fairly Good,†and so on. Evaluating participant performance seems difficult because it involves human decision-making, which is imprecise, ambiguous, and unpredictable. This study employed the fuzzy evaluation method to assess participants’ performance at a Qur’an Reciting Competition in Klang. In this manner, the membership function graph was used to determine the membership value of each satisfaction level. The satisfaction level of each participant’s mark was then computed. At the end, the fuzzy markings with linguistic values would be obtained. The proposed method provides an alternative approach that is reasonable and intelligent in assessing competitors’ performance. This method is practical because it can increase the satisfaction of participants and assist the panels in making more reliable decisions during the competition.
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