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http://dx.doi.org/10.7236/JIIBC.2020.20.5.127

Fine particulate Judgment based on Fuzzy Inference System  

Hong, You-Sik (Dept. of Information&Communication software Enginering, Sangji University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.20, no.5, 2020 , pp. 127-133 More about this Journal
Abstract
The international cancer research institute under the WHO designated fine dust as a first-class carcinogen. Particular matter refers to dust that is small enough to be invisible and floating in the air. Particular matter is mainly emitted from the combustion process of fossil fuels such as coal and oil, and is a risk factor that can cause lung disease, pneumonia, and heart disease. The Ministry of Environment recently analyzed the output data of 10 fine dust measuring stations and, as a result, announced that about 60% had an error that the existing atmospheric measurement concentration was higher. In order to accurately predict fine dust, the wind direction and measurement position must be corrected. In this paper, in order to solve these problems, fuzzy rules are used to solve these problems. In addition, in order to calculate the fine particulate sensation index actually felt by pedestrians on the street, a computer simulation experiment was conducted to calculate the fine particulate sensation index in consideration of weather conditions, temperature conditions, humidity conditions, and wind conditions.
Keywords
Particular matter judgment; Fuzzy inference system; Particular matter sensory index;
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Times Cited By KSCI : 6  (Citation Analysis)
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