Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/35542| Author(s): | Teodoro, M. F. Andrade, M. A. P. |
| Editor: | Theodore Simos Charalambos Tsitouras |
| Date: | 2025 |
| Title: | Optimizing decisions in disaster occurrence situations |
| Volume: | 3315 |
| Book title/volume: | Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2023 (ICNAAM-2023) |
| Reference: | Teodoro, M. F., & Andrade, M. A. P. (2025). Optimizing decisions in disaster occurrence situations. In T. Simos, & C. Tsitouras (Eds.), Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2023 (ICNAAM-2023). AIP Publishing. https://doi.org/10.1063/5.0286741 |
| ISSN: | 0094-243X |
| ISBN: | 978-0-7354-5245-9 |
| DOI (Digital Object Identifier): | 10.1063/5.0286741 |
| Keywords: | Tomada de decisão -- Decision making Delphi method |
| Abstract: | Under the context of maritime catastrophe, we revisit some previous work that contributed to build a design support system to better optimize the decision chain. We overview some interesting literature and focus our work in Delphi method approach, used in the collection of information about the tasks per team and to prioritize teams to enter in action. The study considered the facilities and high qualified staff (experts) of Portuguese Navy. Taking into consideration that Delphi method, where the opinion of each element of a team is considered an important information source to contribute to a decision, giving a certain specific weight per expert profile, and it is developed in successive rounds and evaluating the partial or full consensus between experts, we can refine some details, such as the way how the experts opinion contribute and how is verified the consensus. In the decision-making process, the possible refinement can contribute to optimal decisions. |
| Peerreviewed: | yes |
| Access type: | Open Access |
| Appears in Collections: | ISTAR-CRI - Comunicações a conferências internacionais |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| conferenceObject_103519.pdf | 148,56 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.












