Path Selection using Fuzzy Weight Aggregated Sum Product Assessment
Keywords:
evacuation route, MCDM, Fuzzy AHP, WASPAS-FAbstract
The search for safe evacuation routes is an important issue to save flood victims so they can reach the evacuation centre. This research is a simulation of searching for safe and fast travel evacuation route that have 24 alternative routes. Every road that will be transverse has a limit with certain criteria. Calculate of the weight of the constraints using the Multi-Criteria Decision Making (MCDM) method, namely the Analytical Hierarchy Process (AHP) andWeight Aggregated Sum Product Assessment (WASPAS) based on Fuzzy logic. The criteria of obstacle that qualitative for obscurity so that it makes sense fuzzy will provide supportive input for the MCDM problem. The Fuzzy AHP method is applied to calculate the weight of an application while the Fuzzy WASPAS (WASPAS-F)method is used to determine the safest alternative route. By using the Fuzzy AHP and WASPAS-F methods, a safe and fast pathway weights 0.662
References
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[15] Chitsaz, N.; Banihabib; M. E. (2015). Comparison of different multi criteria decision-making models in prioritizing flood management alternatives, Water Resources Management, 29(8), 2503- 2525, 2015. https://doi.org/10.1007/s11269-015-0954-6
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[17] Dzitac, I.; Filip, F.G.; Manolescu, M.J. (2017). Fuzzy logic is not fuzzy: World-renowned computer scientist Lotfi A. Zadeh, International Journal of Computers Communications & Control, 12(6), 748-789, 2017. https://doi.org/10.15837/ijccc.2017.6.3111
[18] Elsheikh, R. F. A.; Ouerghi, S.; and 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, 2015. https://doi.org/10.4236/jgis.2015.74027
[19] Emovon, I.; Norman, R.; Murphy, A.; Okwu, M. (2018). Application of WASPAS In Enhancing Reliability Centered Maintenance for Ship System Maintenance, Journal of Engineering and Technology, 9(1), 2018.
[20] Erdogan, S. A.; Å aparauskas, J.; Turskis, Z. (2017). Decision making in construction management: AHP and expert choice approach, Procedia engineering, 172, 270-276, 2017. https://doi.org/10.1016/j.proeng.2017.02.111
[21] Guneri, A. F.; Gul, M.; Ozgurler, S. (2015). A fuzzy AHP methodology for selection of risk assessment methods in occupational safety, International Journal of Risk Assessment Management, 18(3-4), 319-335, 2015. https://doi.org/10.1504/IJRAM.2015.071222
[22] Hategekimana, Y.; Yu, L.; Nie, Y.; Zhu, J.; Liu, F.; Guo, F. (2018). Integration of multiparametric fuzzy analytic hierarchy process and GIS along the UNESCO World Heritage: a flood hazard index, Mombasa County, Kenya, Natural Hazards, 92(2), 1137-1153, 2018. https://doi.org/10.1007/s11069-018-3244-9
[23] Hwang, C. L.; Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications, A State-of-the Art-Survey, City: Springer-Verlag., Berlin Heidelberg, 1981. https://doi.org/10.1007/978-3-642-48318-9_3
[24] Kazakis, N.; Kougias, I.; Patsialis, T. (2015). Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope-Evros region, Greece, Science of the Total Environment, 538, 555-563, 2015. https://doi.org/10.1016/j.scitotenv.2015.08.055
[25] Khosravi, K.; Nohani, E.; Maroufinia, E.; Pourghasemi, H. R. (2016). A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weightsof- evidence bivariate statistical models with multi-criteria decision-making technique, Natural Hazards, 83(2), 947-987, 2016. https://doi.org/10.1007/s11069-016-2357-2
[26] Kumar, R.; Anbalagan, R. (2016). Landslide susceptibility mapping using analytical hierarchy process (AHP) in Tehri reservoir rim region, Uttarakhand, Journal of the Geological Society of India, 87(3), 271-286, 2016. https://doi.org/10.1007/s12594-016-0395-8
[27] Lai, C.; Chen, X.; Chen, X.; Wang, Z.; Wu, X.;Zhao, S. (2015). A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory, Natural Hazards, 77(2), 1243-1259, 2015. https://doi.org/10.1007/s11069-015-1645-6
[28] Lesniak, A.; Kubek, D.; Plebankiewicz, E.; Zima, K.; Belniak, S. (2018). Fuzzy AHP application for supporting contractors' bidding decision, Symmetry, 10(11), 642, 2018. https://doi.org/10.3390/sym10110642
[29] Mangla, S. K.; Kumar, P.; Barua, M. K. (2015). Risk analysis in green supply chain using fuzzy AHP approach: A case study, Resources, Conservation and Recycling, 104, 375-390, 2015. https://doi.org/10.1016/j.resconrec.2015.01.001
[30] Mir, S. A.; Padma, T. (2016). Evaluation and prioritization of rice production practices and constraints under temperate climatic conditions using Fuzzy Analytical Hierarchy Process (FAHP), Spanish journal of agricultural research, 14(4), 22, 2016. https://doi.org/10.5424/sjar/2016144-8699
[31] Mishra, A. R.; Rani, P. (2018). Interval-valued intuitionistic fuzzy WASPAS method: application in reservoir flood control management policy, Group Decision Negotiation, 27(6), 1047-1078, 2018. https://doi.org/10.1007/s10726-018-9593-7
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