Answer: A decision model that incorporates the uncertainty element is the Bayesian Network. Bayesian Networks are probabilistic graphical models used for reasoning under uncertainty and for making decisions. They are composed of nodes that represent variables and edges that represent the relationships between them. They use probability theory to calculate the probability of certain events occurring given certain conditions. Bayesian Networks are useful for making decisions in uncertain environments, as they allow for the incorporation of prior knowledge, uncertainty, and dynamic changes in the environment.