LNCS n°9161In the context of decision under uncertainty, standard gambles are classically used to elicit a utility function on a set X of consequences. The utility of an element x in X is derived from the probability p for which a gamble giving the best outcome in X with probability p and the worst outcome in X otherwise, is indifferent to getting x for sure. In many situations, uncertainty that can be observed on the true value of X concerns only neighbour values. Uncertainty is then represented by a probability distribution whose support is an interval. In this case, standard gambles are unrealistic for the decision maker. We consider uncertainty represented by an equi-probability over an interval of X. This paper addresses the elicitatio...
Abstract. Decision making under uncertainty is central to reasoning by practical intelligent systems...
This paper introduces the likelihood method for decision under uncertainty. The method allows the qu...
This paper introduces the likelihood method for decision under uncertainty. The method allows the qu...
This paper proposes a new method, the (gamble-)tradeoff method, for eliciting utilities in decision ...
textabstractThis paper proposes a new method, the (gamble-)tradeoff method, for eliciting utilities ...
In many situations, e.g., in financial and economic decision making, the decision results either in ...
Abstract. In many situations, e.g., in financial and economic decision making, the decision results ...
Abstract. In many situations, e.g., in financial and economic decision making, the decision results ...
This chapter reviews developments in the theory of decision making under risk and uncertainty, focus...
In this article, Savage's theory of decision-making under uncertainty is extended from a classical e...
In this article, Savage's theory of decision-making under uncertainty is extended from a classical e...
In this article, Savage's theory of decision-making under uncertainty is extended from a classical e...
In this article, Savage's theory of decision-making under uncertainty is extended from a classical e...
In this article, Savage's theory of decision-making under uncertainty is extended from a classical e...
This Paper reports the results of an experimental parameter-free elicitation and decomposition of de...
Abstract. Decision making under uncertainty is central to reasoning by practical intelligent systems...
This paper introduces the likelihood method for decision under uncertainty. The method allows the qu...
This paper introduces the likelihood method for decision under uncertainty. The method allows the qu...
This paper proposes a new method, the (gamble-)tradeoff method, for eliciting utilities in decision ...
textabstractThis paper proposes a new method, the (gamble-)tradeoff method, for eliciting utilities ...
In many situations, e.g., in financial and economic decision making, the decision results either in ...
Abstract. In many situations, e.g., in financial and economic decision making, the decision results ...
Abstract. In many situations, e.g., in financial and economic decision making, the decision results ...
This chapter reviews developments in the theory of decision making under risk and uncertainty, focus...
In this article, Savage's theory of decision-making under uncertainty is extended from a classical e...
In this article, Savage's theory of decision-making under uncertainty is extended from a classical e...
In this article, Savage's theory of decision-making under uncertainty is extended from a classical e...
In this article, Savage's theory of decision-making under uncertainty is extended from a classical e...
In this article, Savage's theory of decision-making under uncertainty is extended from a classical e...
This Paper reports the results of an experimental parameter-free elicitation and decomposition of de...
Abstract. Decision making under uncertainty is central to reasoning by practical intelligent systems...
This paper introduces the likelihood method for decision under uncertainty. The method allows the qu...
This paper introduces the likelihood method for decision under uncertainty. The method allows the qu...