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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palliate

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.

顛簸地移動

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

periodontitis

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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Interim

Interim

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

高興去去

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

Chronic

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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