The aim of the project was the development of an expert system for realization of the restoration after a restriction due to an epidemic situation. The system assesses data retrospectively and it models scenarios for the future managing of crises caused by very danger biological agens and toxins. Data from a continual monitoring are used for short-time and instant assessment. They are processed using statistical methods. Long-term assessment is done using artificial intelligence methods including the lessons from past crisis courses, making predictions of possible future course. The system defines, assesses and classifies data, their quality and importance for assessment, it sets up the way how to manage the uncertainty and it helps to prevent possible misinterpretation or misinformation.
Keywords: Expert system; Integrated rescue system; Decision making support tools for recovery