Oct 10, 2022 · We propose and discuss new decision rules whose number of returned actions is bounded by a fixed value and study their consistency and numerical behaviour.
Dec 13, 2022 · Abstract. Convex sets of probabilities are general models to describe and reason with uncertainty. Moreover, robust decision rules defined ...
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(PDF) Decision Making Under Severe Uncertainty on a Budget
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May 5, 2023 · This study proposes algorithms for generating a set of gambles that has a precise number of -maximin (or -maximax) gambles that can be used to ...
For this reason, we propose and discuss new decision rules whose number of returned actions is bounded by a fixed value and study their consistency and ...
Convex sets of probabilities are general models to describe and reason with uncertainty. Moreover, robust decision rules defined for them enable one to make ...
Convex sets of probabilities are general models to describe and reason with uncertainty. Moreover, robust decision rules defined for them enable one to make ...
One way to make decisions under uncertainty is to select an optimal option from a possible range of options, by maximizing the expected utilities derived ...
Jul 2, 2024 · One way to make decisions under uncertainty is to select an optimal option from a possible range of options, by maximizing the expected ...
Mar 5, 2024 · One way to make decisions under uncertainty is to select an optimal option from a possible range of options, by maximizing the expected ...
In very few decision making situations is perfect information—all the needed facts—available. Most decisions are made in the face of uncertainty. Probability ...
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