… Transiting from handling uncertainty to risk analysis: Risk factor … , discrete alternative and
optimization problems with multiple criteria. In the first category, examples of discrete choices …

… and will accept a smaller reward to avoid risk (Figure 2K). … risk seeking, and risk neutral if
they are equal. Measured certainty equivalents closely matched those predicted from the model…

… and often deeply uncertain risks can and should be included in economic evaluations
and decision-making processes. We present an overview of these unquantified risks and an …

… respondent uncertainty directed in the response choices have … discrete choice CVM value
elicitation questions have been commonly referred to as choice modeling or discrete choice …

… the unknown elements— or uncertainties-associated with the choices. The random utility …
For example, some individuals might be more risk averse (eg, more willing to choose a variable …

… with downside risk theory. It can not only effecttively deal with the … uncertainties expressed
as discrete intervals and probability distribution, but also help decision-makers make cost-risk …

… literature on uncertainty and related concepts, such as risk and … uncertainty to develop our
theorizing on uncertainty regulation. In the most general sense, we define uncertainty as any …

… Our approach assesses the effects of risk aversion in QoL and uncertainty in treatment … risk
aversion in QoL and uncertainty in the benefits of medical interventions can improve decision-…

… Some scholars have studied the choice of travel mode by discrete choice models. [8] by …
choice model based on risk perception. But, in addition to the uncertainty of the transportation …

… The first two methods capture modelling uncertainty, while the latter is used to quantify climate
… Examples of future risk modelling efforts that have leveraged climate ensemble modelling …