TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A framework of Multi Linear Regression based on Fuzzy Theory and Situation Awareness and its application to Beach Risk Assessment |
| 영문제목(English Title) |
A framework of Multi Linear Regression based on Fuzzy Theory and Situation Awareness and its application to Beach Risk Assessment |
| 저자(Author) |
Gun-Yoon Shin
Sung-Sam Hong
Dong-Wook Kim
Cheol-Hun Hwang
Myung-Mook Han
Hwayoung Kim
Young jae Kim
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| 원문수록처(Citation) |
VOL 14 NO. 07 PP. 3039 ~ 3056 (2020. 07) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Beaches have many risk factors that cause various accidents, such as drifting and drowning, these accidents have many risk factors. To analyze them, in this paper, we identify beach risk factors, and define the criteria and correlation for each risk factor. Then, we generate new risk factors based on Fuzzy theory, and define Situation Awareness for each time. Finally, we propose a beach risk assessment and prediction model based on linear regression using the calculated risk result and pre-defined risk factors. We use national public data of the Korea Meteorological Administration (KMA), and the Korea Hydrographic and Oceanographic Agency (KHOA). The results of the experiment showed the prediction accuracy of beach risk to be 0.90%, and the prediction accuracy of drifting and drowning accidents to be 0.89% and 0.86%, respectively. Also, through factor correlation analysis and risk factor assessment, the influence of each of the factors on beach risk can be confirmed. In conclusion, we confirmed that our proposed model can assess and predict beach risks.
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| 키워드(Keyword) |
Beach Risk Assessment
Beach Risk Factor
Situation Awareness
Fuzzy Theory
Multi Linear Regression.
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| 파일첨부 |
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