Knowledge database and case-based reasoning

Abstract

Nuclear emergencies are characterised by severe disruptions in society's functionality and adverse impacts on human, environment and economy. Decision-making in times of such crises is complex and usually accompanied by acute time pressure. Environment can change rapidly and decisions may have to be made based on uncertain information. IT-based decision support can systematically help to identify response and recovery measures, especially when time for decision-making is sparse, when numerous options exist or when events are not completely anticipated. This paper reviews the case- and scenario-based approach implemented in the so-called analytical platform to support the management of nuclear events in different accident phases. Important information needed for decision-making as well as approaches to reusing experience from previous events and the fictitious scenarios calculated by Java version of the Real-time On-line Decision Support System are discussed. Suitable management options based on similar historic events and scenarios might be identified to support disaster management.