Add to ORKGIn condition of uncertainty regarding a random phenomenon, particularly in decision making and risk analysis, valuable information may be provided by experts in terms of subjective probability distributions for random variable
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities,...
Inference under uncertainty plays a crucial role in expert system and receives growing attention fro...
PresentationTo be acceptably safe one must identify the risks one is exposed to. It is uncertain whe...
Expert opinion and judgment enter into the practice of statistical inference and decision-making in ...
The quality of an expert system, it is argued in this paper, is determined by the quality of its kno...
Uncertainty analysis has become an increasingly important part of risk assessments and operations re...
AbstractThis paper addresses the problem of modeling of expert knowledge as a starting point for inf...
In decision and risk analysis problems, modelling uncertainty probabilistically provides key insight...
In decision and risk analysis problems, modelling uncertainty probabilistically provides key insight...
Uncertainty quantification can be broadly defined as the process of characterizing, estimating, prop...
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities,...
A new model for dealing with decision making under risk by considering subjective and objective info...
Decision analysts are frequently called on to help inform decision-makers in situations where there ...
We are indeed gratified to be able to present eight impressive papers on the subject of expert judgm...
The uncertainty of probabilistic evaluations results from the lack of sufficient information and/or ...
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities,...
Inference under uncertainty plays a crucial role in expert system and receives growing attention fro...
PresentationTo be acceptably safe one must identify the risks one is exposed to. It is uncertain whe...
Expert opinion and judgment enter into the practice of statistical inference and decision-making in ...
The quality of an expert system, it is argued in this paper, is determined by the quality of its kno...
Uncertainty analysis has become an increasingly important part of risk assessments and operations re...
AbstractThis paper addresses the problem of modeling of expert knowledge as a starting point for inf...
In decision and risk analysis problems, modelling uncertainty probabilistically provides key insight...
In decision and risk analysis problems, modelling uncertainty probabilistically provides key insight...
Uncertainty quantification can be broadly defined as the process of characterizing, estimating, prop...
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities,...
A new model for dealing with decision making under risk by considering subjective and objective info...
Decision analysts are frequently called on to help inform decision-makers in situations where there ...
We are indeed gratified to be able to present eight impressive papers on the subject of expert judgm...
The uncertainty of probabilistic evaluations results from the lack of sufficient information and/or ...
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities,...
Inference under uncertainty plays a crucial role in expert system and receives growing attention fro...
PresentationTo be acceptably safe one must identify the risks one is exposed to. It is uncertain whe...