Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/35542
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dc.contributor.authorTeodoro, M. F.-
dc.contributor.authorAndrade, M. A. P.-
dc.contributor.editorTheodore Simos-
dc.contributor.editorCharalambos Tsitouras-
dc.date.accessioned2025-11-17T11:27:03Z-
dc.date.available2025-11-17T11:27:03Z-
dc.date.issued2025-
dc.identifier.citationTeodoro, 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-
dc.identifier.isbn978-0-7354-5245-9-
dc.identifier.issn0094-243X-
dc.identifier.urihttp://hdl.handle.net/10071/35542-
dc.description.abstractUnder 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.eng
dc.language.isoeng-
dc.publisherAIP Publishing-
dc.relationinfo:eu-repo/grantAgreement/FCT/Financiamento do Plano Estratégico de Unidades de I&D - 2019/UID%2FMulti%2F04621%2F2019/PT-
dc.relation.ispartofProceedings of the International Conference on Numerical Analysis and Applied Mathematics 2023 (ICNAAM-2023)-
dc.rightsopenAccess-
dc.subjectTomada de decisão -- Decision makingeng
dc.subjectDelphi methodeng
dc.titleOptimizing decisions in disaster occurrence situationseng
dc.typeconferenceObject-
dc.event.typeConferênciapt
dc.event.locationHeraklioneng
dc.event.date2023-
dc.peerreviewedyes-
dc.volume3315-
dc.date.updated2025-11-17T11:03:21Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.1063/5.0286741-
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-103519-
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