Sistema de Ayuda a la Decisión Aplicado a Situaciones de Emergencia en Tiempo Real

This paper proposes a Computational Decision Support System, the Fire Emergency Manager (GCF), designed for assisting a person to make decisions in real time during emergency situations, specifically during a fire in a building. The dynamics of the GCF is based on the estimation of the final state related to each alternative via a net of concepts and some evolution functions that define how the initial state will evolve given a certain alternative. The GCF scores the alternatives computing their expected utility and so, it requires a probability value associated to each possible final state. The estimated values of the criteria that characterize a state are bounded using fuzzy sets, which provide an easy method for assigning probability values. The GCF considers that it could be necessary to carry out simultaneously more than one alternative to mitigate a fire emergency. Copyright © 2010 CEA.

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