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

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发表于 2025-3-21 18:35:21 | 显示全部楼层 |阅读模式
书目名称Decision Aid Models for Disaster Management and Emergencies
编辑Begoña Vitoriano,Javier Montero,Da Ruan
视频video
概述Provides a general framework for disaster management.Contains various decisions analysis theories and support tools in complex systems in general and in disaster management in particular.Includes disa
丛书名称Atlantis Computational Intelligence Systems
图书封面Titlebook: Decision Aid Models for Disaster Management and Emergencies;  Begoña Vitoriano,Javier Montero,Da Ruan Book 2013 Atlantis Press 2013 Disaste
描述Disaster management is a process or strategy that is implemented when any type of catastrophic event takes place. The process may be initiated when anything threatens to disrupt normal operations or puts the lives of human beings at risk. Governments on all levels as well as many businesses create some sort of disaster plan that make it possible to overcome the catastrophe and return to normal function as quickly as possible.Response to natural disasters (e.g., floods, earthquakes) or technological disaster (e.g., nuclear, chemical) is an extreme complex process that involves severe time pressure, various uncertainties, high non-linearity and many stakeholders. Disaster management often requires several autonomous agencies to collaboratively mitigate, prepare, respond, and recover from heterogeneous and dynamic sets of hazards to society.Almost all disasters involve high degrees of novelty to deal with most unexpected various uncertainties and dynamic time pressures. Existing studies and approaches within disaster management have mainly been focused on some specific type of disasters with certain agency oriented. There is a lack of a general framework to deal with similarities and
出版日期Book 2013
关键词Disaster management; Risk analysis; Risk management; Risk modelling
版次1
doihttps://doi.org/10.2991/978-94-91216-74-9
isbn_softcover978-94-6239-045-4
isbn_ebook978-94-91216-74-9Series ISSN 1875-7650 Series E-ISSN 2215-1710
issn_series 1875-7650
copyrightAtlantis Press 2013
The information of publication is updating

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发表于 2025-3-21 21:46:30 | 显示全部楼层
Decision Aid Models and Systems for Humanitarian Logistics. A Survey,s paper introduces the main concepts used in emergency and disaster management, and presents a literature review on the decision aid models and systems applied to humanitarian logistics in this context.
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Uncertainty in Humanitarian Logistics for Disaster Management. A Review,ot easily anticipated. Thus, NGOs and civil protection often have to take decisions and plan for their operations without having the possibility of relying on exact or complete information on the magnitude of the disaster. Over the years, a number of works and methodologies that address uncertainty
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Fuzzy Inference Systems for Disaster Response, dealing with all humanitarian aspects of emergencies, in particular preparedness, response and recovery in order to lessen the impact of disasters. Disaster response is one of the critical stages of disaster management, which necessitates spontaneous decision making when a disaster occurs. Fuzzy in
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A Belief Rule-Based Generic Risk Assessment Framework,certainties. Such information may be of very different nature: it can be quantitative or qualitative, and uncertain, incomplete, imprecise, conflicting, for which the traditional quantitative approach (e.g., statistical approach) does not give an adequate answer. If–Then rules place the key role in
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Fuzzy Semantics in Closed Domain Question Answering,f the disaster into rescue work. These descriptions are usually expressed linguistically by witnesses and must be transformed into comprehensible data. The aim of our approach is to achieve a multiple interest: modeling data through (un)balanced fuzzy 2-tuples should permit to decrease the CPU time
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Classification of Disasters and Emergencies under Bipolar Knowledge Representation,fter a disaster strike. This is mainly due to some features of the available information in such a context, but also because of the imprecise nature of some of the relevant categories (think about the number of affected people, for instance). Instead of a numerical evaluation, in this work is consid
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