Emergency Management Decision Support System Based on Bayesian Network, M.Sc. Thesis Sharif University of Technology ; Mahsuli, Mojtaba (Supervisor)
Abstract
This research proposes a probabilistic framework for decision support in emergency response. Currently, decision-making is traditionally based on data from reconnaissance teams, while there are other information sources that assist decision-making. These sources of information include social sensors, physical sensors, aerial imaging, and crowdsourcing. The information obtained from these sources is heterogeneous and uncertain, requires a probabilistic data fusion framework to be used in decision making. This research employs Bayesian Networks for this purpose. The outstanding feature of the Bayesian Network is its real-time nature, which set apart it from other methods. This feature makes...
Cataloging briefEmergency Management Decision Support System Based on Bayesian Network, M.Sc. Thesis Sharif University of Technology ; Mahsuli, Mojtaba (Supervisor)
Abstract
This research proposes a probabilistic framework for decision support in emergency response. Currently, decision-making is traditionally based on data from reconnaissance teams, while there are other information sources that assist decision-making. These sources of information include social sensors, physical sensors, aerial imaging, and crowdsourcing. The information obtained from these sources is heterogeneous and uncertain, requires a probabilistic data fusion framework to be used in decision making. This research employs Bayesian Networks for this purpose. The outstanding feature of the Bayesian Network is its real-time nature, which set apart it from other methods. This feature makes...
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