Including model uncertainty in risk-informed decision making

Risk-informed decision-making in the presence of epistemic uncertainty

Uncertainty and Risk in HTA Decision Making

Optimizing Computer Representation and Computer Processing of Epistemic Uncertainty for Risk-Informed Decision Making: Finances etc

Uncertainty is usually gauged by using standard statistical characteristics: mean, variance, correlation, etc. Then, we use the known values of these characteristics (or the known bounds on these values) to select a decision. Sometimes, it becomes clear that the selected characteristics do not always describe a situation well; then other known (or new) characteristics are proposed. A good examp...

Supporting Informed Decision-Making under Uncertainty and Risk through Interactive Visualisation

Informed decisions are based on the availability of information and the ability of decision-makers to manipulate this information. More often than not, the decision-relevant information is subject to uncertainty arising from different sources. Consequently, decisions involve an undeniable amount of risk. An effective visualisation tool to support informed decision-making must enable users to no...

Decision making under risk and uncertainty.

Decision making is studied from a number of different theoretical approaches. Normative theories focus on how to make the best decisions by deriving algebraic representations of preference from idealized behavioral axioms. Descriptive theories adopt this algebraic representation, but incorporate known limitations of human behavior. Computational approaches start from a different set of assumpti...