Although the different circumstances of the disasters caused by earthquakes, it can be seen there are many similarities between those disasters not only in the causes but also in the consequences. These similarities should be considered during thepreparedness for future emergencies to face the disasterrelated uncertainties. This requires better understanding of the disaster and continuous learning from experience in order to achieve a well-prepared and resilient organization. The goal of this work is to design a model that compares an occurring scenario with different recorded earthquake scenarios and then retrieves the most similar scenario. This requires either to develop many seismic scenarios and their corresponding damages, or to use recorded data from previous earthquake crises. The model helps the decision makers, during emergencies, to choose the amonga predefined response actions to face the occurring earthquake event. The work was done based on a real case study for the City of Salò, Italy, by using recorded seismic data for major earthquakes hit the city and then by defining different earthquakescenarios andestimationof the damages for each one of them. By comparing the estimateddatafor the different scenarios, it was possible to define the similarity function based on the key similar parameters between them. Then developing the model and defining all the previouslyobtained data in the knowledge base for each scenario. Finally, by using the similarity function it was possible to retrieve the most similar scenario to any new occurring one.
Similarity model, Earthquake Scenarios, Emergency, Preparedness
