Abstract
According to the characters of emergency decision-making in crisis management, this paper proposes a special decision-making method to deal with the inadequate information, uncertainty and dynamical trend. This CBR-based decision support method retrieves similar cases from Case Base and forecasts the prior distribution of absent feature values using Bayesian Dynamic Forecasting Model. Then the result is put into Markov-based state transition matrix to order suggested solutions by suitability and assist consensus achieving among decision makers. This novel method is suitable to emergency decision making as it provides support for the dynamic and evolutionary character of emergency response.
This research is supported by NSFC(70671066).
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Zhao, J., Jin, T., Shen, H. (2007). A Case-Based Evolutionary Group Decision Support Method for Emergency Response. In: Yang, C.C., et al. Intelligence and Security Informatics. PAISI 2007. Lecture Notes in Computer Science, vol 4430. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71549-8_8
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DOI: https://doi.org/10.1007/978-3-540-71549-8_8
Publisher Name: Springer, Berlin, Heidelberg
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