Mathematical Models Generators of Decision Support Systems for Help in Case of Catastrophes: An Experience from Venezuela

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Author(s): José G. R. Hernández (Universidad Metropolitana, Venezuela)and María J. G. García (Minimax Consultores C.A., Venezuela)
Copyright: 2010
Pages: 20
Source title: Advanced ICTs for Disaster Management and Threat Detection: Collaborative and Distributed Frameworks
Source Author(s)/Editor(s): Eleana Asimakopoulou (Loughborough University, UK)and Nik Bessis (University of Bedfordshire, UK)
DOI: 10.4018/978-1-61520-987-3.ch013

Keywords: Business Science Reference / Crisis Response and Management / Emergency & Disaster Management / Government & Law

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Abstract

Immediately after the catastrophes that affected Venezuela at the end of 1999, especially the flood of the State of Vargas, a group of investigators of a consultancy company and of a private university of Caracas Venezuela, started working in decisions support systems (DSS) that could be useful in the moment of a catastrophe, helping to minimize the impact of its three principal stages: Pre-catastrophe, Impact and Post-catastrophe. Clearly, for the development of these DSS, it was indispensable to construct mathematical models to support them. The objective of this chapter is to disclose this experience by presenting some of these mathematical models and its conversion in DSS that supports decision making in the case of catastrophes.

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Mathematical Models Generators of Decision Support Systems for Help in Case of Catastrophes: An Experience from Venezuela

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