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Titlebook: Decision Aid Models for Disaster Management and Emergencies; Bego?a Vitoriano,Javier Montero,Da Ruan Book 2013 Atlantis Press 2013 Disaste

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21#
發(fā)表于 2025-3-25 07:13:26 | 只看該作者
Minimally Invasive Cardiac Output Monitorlinguistic adaptation and the understandability of the proposed solution, the methodology of the . fuzzy rulebased classification systems has been adopted in this work. Nevertheless, some features of that context, as the ordering and gradation of the consequences or the need of avoiding the risk of
22#
發(fā)表于 2025-3-25 08:49:14 | 只看該作者
23#
發(fā)表于 2025-3-25 14:12:25 | 只看該作者
Sabina Leonelli,Niccolò Tempini increasing amount of available risky status and alert information. The proposed system includes a new dynamic situation assessment method based on risk, which has the ability to support the operators’ understanding of the current state of the system, predict the near future, and suggest appropriate
24#
發(fā)表于 2025-3-25 18:39:56 | 只看該作者
25#
發(fā)表于 2025-3-25 23:55:38 | 只看該作者
Decision Aid Models for Disaster Management and Emergencies
26#
發(fā)表于 2025-3-26 00:27:26 | 只看該作者
27#
發(fā)表于 2025-3-26 07:35:06 | 只看該作者
28#
發(fā)表于 2025-3-26 09:11:00 | 只看該作者
Data Interpretation in AnesthesiaIn this chapter we propose an extension of the weighted voting method to the intervalvalued setting. In this way, we allow the use of interval-valued information in those situations in which the lack of knowledge prevents the expert from providing more precise information. We also provide some simple examples of our method.
29#
發(fā)表于 2025-3-26 15:12:58 | 只看該作者
Decision Making with Extensions of Fuzzy Sets: An Application to Disaster Management,In this chapter we propose an extension of the weighted voting method to the intervalvalued setting. In this way, we allow the use of interval-valued information in those situations in which the lack of knowledge prevents the expert from providing more precise information. We also provide some simple examples of our method.
30#
發(fā)表于 2025-3-26 20:42:44 | 只看該作者
https://doi.org/10.2991/978-94-91216-74-9Disaster management; Risk analysis; Risk management; Risk modelling
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