A case-based evolutionary group decision support method for emergency response
作者： Jidi Zhao , Tao Jin , Huizhang Shen
DOI: 10.1007/978-3-540-71549-8_8
关键词: Business decision mapping 、 Decision tree 、 Crisis management 、 Optimal decision 、 Influence diagram 、 Operations research 、 Decision support system 、 Markov chain 、 Decision analysis 、 Computer science
摘要: According to the characters of emergency decision-making in crisis management, this paper proposes a special method deal with inadequate information, uncertainty and dynamical trend. This CBR-based decision support retrieves similar cases from Case Base forecasts prior distribution absent feature values using Bayesian Dynamic Forecasting Model. Then result is put into Markov-based state transition matrix order suggested solutions by suitability assist consensus achieving among makers. novel suitable making as it provides for dynamic evolutionary character response.
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