A decision-making method for uncertain matching between volunteer teams and rescue tasks
| Autor: | Ying-Ming Wang, Hai-Liu Shi, Xing-Xian Zhang, Sheng-Qun Chen |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
021110 strategic
defence & security studies Matching (statistics) 010504 meteorology & atmospheric sciences Emergency management Operations research Computer science business.industry Perspective (graphical) 0211 other engineering and technologies Evidential reasoning approach Geology Rationality 02 engineering and technology Building and Construction Geotechnical Engineering and Engineering Geology 01 natural sciences Preference Task (project management) Order (exchange) business Safety Research 0105 earth and related environmental sciences |
| Zdroj: | International Journal of Disaster Risk Reduction. 58:102138 |
| ISSN: | 2212-4209 |
| Popis: | Many types of major disasters occur around the world, and optimizing the coordination between volunteer teams and rescue tasks is necessary. In order to motivate volunteers, we studied the issue of dispatching the volunteers from the perspective of two-sided matching. Currently, the preference of information for alternatives provided by matching agents is uncertain. Therefore, in this study, an evidential reasoning-based approach is developed to solve uncertain matching problems between volunteer teams and rescue tasks. This approach not only considers the needs of the rescue task but also respects the individual choices of the volunteers. Furthermore, it can solve the problem of aggregating uncertain matching information while avoiding the subjective determination of a two-sided matching satisfaction function. The proposed approach is illustrated through a case study focused on the storm surge disaster relief in a coastal area in China. The rationality and effectiveness of the approach is validated through comparisons and analysis of the experimental results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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