Bayesian networks for transport decision scenarios
نویسنده
چکیده
Bayesian networks are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. We will analyze Bayesian networks and outline their advantages and disadvantages. Based on these assumptions we discuss transport decision scenarios under uncertainty. A transport planning approach like the postal delivery demonstrates a good framework for building and handling with normative systems like Bayesian networks.
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