17 research outputs found
Decision process in large-scale crisis management
International audienceThis paper deals with the decision-aiding process in large-scale crisis such as natural disasters. It consists in four phases: decision context characterization, system modelling, aggregation and integration. The elements of the context, such as crisis level, risk situation, decision-maker problem issue are defined through the characterization phase. At the feared event occurrence, these elements will interact on a target system. Through the model on this system, the consequences to stakes could be assessed or estimated. The presented aggregation approaches will allow taking the right decisions. The architecture of a Decision Support System is presented in the integration phase
A Decision Support Framework for Crisis Management
International audienceThis paper deals with the development of a Decision Support System (DSS) for infrastructure network vulnerability analysis in the natural disaster context. The developed DSS named VESTA supports dynamic modelling and interdependence modelling. The issues in this particular decision context are identified. Characteristics to be respected and the software architecture are also presented. The strengths of the DSS and its functionalities are highlighted. It calculates parameters by a simulation based on a vulnerability model. This paper discusses the implementation granularities of and the use of such a DSS