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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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樓主: TIBIA
41#
發(fā)表于 2025-3-28 14:48:32 | 只看該作者
42#
發(fā)表于 2025-3-28 19:59:42 | 只看該作者
Sabina Leonelli,Niccolò Tempinie the human suffering and to return the population to some sense of normality. With contributions to humanitarian relief programmes falling short of what is required, programme managers need to become more cost-efficient and do more with less. The field of operational research (OR) has developed man
43#
發(fā)表于 2025-3-29 00:33:04 | 只看該作者
44#
發(fā)表于 2025-3-29 06:07:07 | 只看該作者
https://doi.org/10.1007/978-3-030-37177-7is chapter, we first review fire and explosion safety related regulations and assessment approaches, and then present a hierarchical assessment framework for evaluating safety against fire and explosion hazards in container line supply chain (CLSC).Main criteria and factors influencing fire and expl
45#
發(fā)表于 2025-3-29 09:10:00 | 只看該作者
Sabina Leonelli,Niccolò Tempini were striving against significant challenges. They have to face data overload, the challenge of working with a complex system and the stressful task of understanding what is going on in the situation. Therefore, to design and implement complex technological systems where the information flow is qui
46#
發(fā)表于 2025-3-29 12:02:26 | 只看該作者
47#
發(fā)表于 2025-3-29 15:46:50 | 只看該作者
48#
發(fā)表于 2025-3-29 20:09:09 | 只看該作者
49#
發(fā)表于 2025-3-30 01:21:28 | 只看該作者
https://doi.org/10.1007/978-3-319-21843-4in Disaster Management have been presented in the literature. In this chapter we review different forms of tackling uncertainty in Humanitarian Logistics for Disaster Management and propose a classification of the advances in this research field.
50#
發(fā)表于 2025-3-30 06:51:27 | 只看該作者
Data Interpretation in Anesthesiaference systems are very suitable for such decision making environments since the inputs and outputs of disaster events cannot be sharply defined. This chapter describes potential applications of fuzzy inference systems in disaster response.
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