To operationalise this: a decision theory usually assumes that you have some number of options, each with some defined payout. Assuming payouts are fixed, all decision theories simply advise you to pick the outcome with the highest utility.
The theories typically assume that each choice option has a number of known mutually exclusive (and jointly exhaustive) possible outcomes. And to each outcome the agent assigns a utility and a probability. So uncertainty is in fact modelled insofar the agent can assign subjective probabilities to those outcomes occurring. The expected utility of an outcome is then something like its probability times its utility.
Other uncertainties are not covered in decision theory. E.g. 1) if you are uncertain what outcomes are possible in the first place, 2) if you are uncertain what utility to assign to a possible outcome, 3) if you are uncertain what probability to assign to a possible outcome.
I assume you are talking about some of the latter uncertainties?
The theories typically assume that each choice option has a number of known mutually exclusive (and jointly exhaustive) possible outcomes. And to each outcome the agent assigns a utility and a probability. So uncertainty is in fact modelled insofar the agent can assign subjective probabilities to those outcomes occurring. The expected utility of an outcome is then something like its probability times its utility.
Other uncertainties are not covered in decision theory. E.g. 1) if you are uncertain what outcomes are possible in the first place, 2) if you are uncertain what utility to assign to a possible outcome, 3) if you are uncertain what probability to assign to a possible outcome.
I assume you are talking about some of the latter uncertainties?