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  • 标题:Fuzzy TOPSIS Approach for Ranking Flood Factors in Kedah
  • 本地全文:下载
  • 作者:Nordianah Jusoh @ Hussain ; Siti Nor Nadrah Muhamad ; Nur Janatul Liana Mohd Jafrri
  • 期刊名称:International Journal of Academic Research in Business and Social Sciences
  • 电子版ISSN:2222-6990
  • 出版年度:2021
  • 卷号:11
  • 期号:4
  • 页码:1320-1328
  • DOI:10.6007/IJARBSS/v11-i4/9692
  • 语种:English
  • 出版社:Human Resource Management Academic Research Society
  • 摘要:Flood is a common natural disaster in Malaysia. This phenomenon is mainly triggered by continuous heavy rainfall causing the water in a river or sea to cross the danger level, resulting to flood. For instance, if the drainage system is not functioning well due to blockage, it is more likely for a flood to occur, causing damages to buildings, bridges, farms, roads, automobiles, and houses. Slope of basin and type of soil are also contributing factors to causes of flood. The main objective of this research is to use Fuzzy TOPSIS to classify the most significant factors in the frequency of floods in Kedah. This method is able to select and rank the factors that cause flood for all the districts in Kedah. To obtain the data, an interview was conducted with an expert from the Department of Irrigation and Drainage Kedah. The result of this study is obtained after the closeness coefficient is calculated. The first ranking is selected as the highest proximity coefficient value that is closest to Fuzzy Positive Ideal Solution. From this study, rainfall is indicated as the most important factor followed by drainage system, type of soil and lastly, slope of basin. The result can be used by Department of Irrigation and Drainage Kedah to make early preparation and prevention plans to tackle the phenomenon.
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