ISSN: 2222-6990
Open access
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.
Norbiato, D., Borga, M., Degli Esposti, S., Gaume, E., & Anquetin, S. (2008). Flash flood warning based on rainfall thresholds and soil moisture conditions: An assessment for gauged and ungauged basins. Journal of Hydrology, 362(3-4), 274-290.
Kaur, M., & Majid, E. (2010). Thousands forced to flee as rising waters wreak havoc. Thestar, November 2. Available:
https://www.thestar.com.my/news/nation/2010/11/02/thousands-forced-to-flee-as-rising-waters-wreak-havoc/. [Accessed Sept. 18, 2017]
Azizi, A., Aikhuele, D. O., & Souleman, F. S. (2015). A fuzzy TOPSIS model to rank automotive suppliers. Procedia Manufacturing, 2, 159-164.
Wang, Y. J., & Lee, H. S. (2007). Generalizing TOPSIS for fuzzy multiple-criteria group decision-making. Computers & Mathematics with Applications, 53(11), 1762-1772.
Zeyaeyan, S., Fattahi, E., Ranjbar, A., & Vazifedoust, M. (2017). Classification of rainfall warnings based on the TOPSIS method. Climate, 5(2), 33.
Sodhi, B., & T V, P. (2012). A simplified description of Fuzzy TOPSIS. arXiv preprint arXiv:1205.5098.
Fu, G. (2008). A fuzzy optimization method for multicriteria decision making: An application to reservoir flood control operation. Expert Systems with Applications, 34(1), 145-149.
Fathi, M. R., Matin, H. Z., Zarchi, M. K., & Azizollahi, S. (2011). The application of fuzzy TOPSIS approach to personnel selection for Padir Company, Iran. Journal of management Research, 3(2), 1-14.
Cetinkaya, C., Özceylan, E., Erba?, M., & Kabak, M. (2016). GIS-based fuzzy MCDA approach for siting refugee camp: A case study for southeastern Turkey. International Journal of Disaster Risk Reduction, 18, 218-231.
Mavi, R. K., Goh, M., & Mavi, N. K. (2016). Supplier selection with Shannon entropy and fuzzy TOPSIS in the context of supply chain risk management. Procedia-Social and Behavioral Sciences, 235, 216-225.
Chu, J., & Su, Y. (2012). The application of TOPSIS method in selecting fixed seismic shelter for evacuation in cities. Systems Engineering Procedia, 3, 391-397.
Ashrafzadeh, M., Rafiei, F. M., Isfahani, N. M., & Zare, Z. (2012). Application of fuzzy TOPSIS method for the selection of Warehouse Location: A Case Study. Interdisciplinary Journal of Contemporary Research in Business, 3(9), 655-671.
Behzadian, M., Otaghsara, S. K., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with applications, 39(17), 13051-13069.
Elsheikh, R. F. A., Ouerghi, S., & Elhag, A. R. (2015). Flood risk map based on GIS, and multi criteria techniques (case study Terengganu Malaysia). Journal of Geographic Information System, 7(04), 348.
De Brito, M. M., & Evers, M. (2016). Multi-criteria decision-making for flood risk management: a survey of the current state of the art. Natural Hazards and Earth System Sciences, 16(4), 1019-1033.
Lee, G., Jun, K. S., & Chung, E. S. (2015). Group decision-making approach for flood vulnerability identification using the fuzzy VIKOR method. Natural Hazards and Earth System Sciences, 15(4), 863-874.
Jiang, W., Deng, L., Chen, L., Wu, J., & Li, J. (2009). Risk assessment and validation of flood disaster based on fuzzy mathematics. Progress in Natural Science, 19(10), 1419-1425.
In-Text Citation: (Hussain et al., 2021)
To Cite this Article: Hussain, N. J. @, Muhamad, S. N. N., Jafrri, N. J. L. M., Shahidan, W. N. W., Pazil, N. S. M., & Samad, K. A. (2021). Fuzzy TOPSIS Approach for Ranking Flood Factors in Kedah. International Journal of Academic Research in Business and Social Sciences, 11(4), 1320–1328.
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