A Voting TOPSIS Approach for Determining the Priorities of Areas Damaged in Disasters
Yanjin He () and
Hosang Jung ()
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Yanjin He: Graduate School of Logistics, Inha University, Incheon 22212, Korea
Hosang Jung: Asia Pacific School of Logistics, Inha University, Incheon 22212, Korea
Sustainability, 2018, vol. 10, issue 5, 1-16
In this paper, we investigate the priority determination problem for areas that have been damaged during disasters. Relief distribution should be planned while considering the priorities of the damaged areas. To determine the priorities of the damaged areas, we first define four criteria and then propose a voting TOPSIS (technique for order of preference by similarity to ideal solution) that utilizes the fuzzy pair-wise comparison, data envelopment analysis, and TOPSIS. Since the voting TOPSIS is based on the voting results of multiple experts, it can be applied to urgent situations quickly, regardless of the consistency of comparison, the number of alternatives, and the number of participating experts. The proposed approach is validated using a real-world case, and this case analysis shows that the voting TOPSIS is viable.
Keywords: disaster management; relief priority; multi-criteria decision-making; voting TOPSIS; case study (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:5:p:1607-:d:146848
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