利用Mamdani模糊推理系统方法分析雅加达省DKI空气污染水平

Pub Date : 2020-07-20 DOI:10.31289/jite.v4i1.3804
Akmal Dirgantara, A. Fauzi, Ginabila Ginabila
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引用次数: 0

摘要

这项研究的目的是测量空气中含有的污染气体所决定的空气污染水平。测量空气污染的污染物是PM10(特殊材料)、SO2(硫)、NO2(氮氧化物)、CO(一氧化碳)、O3(臭氧)和NO2(氮氧化物),这些污染物与车辆使用有关,根据污染物阈值的选择,我们将用模糊mamdani推理方法讨论空气污染水平。然后将污染物阈值研究的结果应用于使用if-then规则的规则/规则,然后使用加权平均值安排输入变量,加权后的变量平均值将被确定为低、中、高三个级别。关键词决策树,特征选择,讲师助理性能优化,粒子群优化。
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Analysis of Air Pollution Levels in DKI Jakarta Province Using the Mamdani Fuzzy Inference System Method
This study aims to measure the level of air pollution determined by pollutant gases contained in the air. Pollutants that measure air pollution are PM10 (Special Material), SO2 (Sulfur), NO2 (Nitrogen Oxide), CO (Carbon Monoxide, O3 (Ozone), and NO2 (Nitrogen Oxide), which are related to vehicle use and, according to the choice this pollutant threshold, we will discuss the level of air pollution with the fuzzy mamdani inference method. The results of the pollutant threshold study will then be applied to the rules / rules that are applied using the if-then rules and then the input variables are arranged using weighted averages, variable averages weighted will be determined higher into three levels: low, medium and high. Keywords Decision Tree, Feature Selection, Optimization of Lecturer Assistant Performance, Particle Swarm Optimization.
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