textabstractThis article studies situations in which information is ambiguous and only part of it can be probabilized. It is shown that the information can be modeled through belief functions if and only if the nonprobabilizable information is subject to the principles of complete ignorance. Next the representability of decisions by belief functions on outcomes is justified by means of a neutrality axiom. The natural weakening of Savage's sure-thing principle to unambiguous events is examined and its implications for decision making are identified
This is the publisher's version, which is being shared with permission, and which is also available ...
This is the publisher's version, which is being shared with permission, and which is also available ...
International audienceApproaches to decision-making under uncertainty in the belief function framewo...
This paper studies situations in which information is ambiguous, and only part of it can be probabil...
This paper shows that a "principle of complete ignorance" plays a central role in decisions based on...
AbstractA primary motivation for reasoning under uncertainty is to derive decisions in the face of i...
In this paper, we study choice under uncertainty with belief functions on a set of outcomes as objec...
AbstractThis paper examines the applicability of belief funstions methodology in three reasoning tas...
In real-life decision problems, decision makers are never provided with the necessary background str...
In real-life decision problems, decision makers are never provided with the necessary background str...
In real-life decision problems, decision makers are never provided with the necessary background str...
In real-life decision problems, decision makers are never provided with the necessary background str...
In real-life decision problems, decision makers are never provided with the necessary background str...
In real-life decision problems, decision makers are never provided with the necessary background str...
Coherent imprecise probabilistic beliefs are modelled as incomplete comparative likelihood relations...
This is the publisher's version, which is being shared with permission, and which is also available ...
This is the publisher's version, which is being shared with permission, and which is also available ...
International audienceApproaches to decision-making under uncertainty in the belief function framewo...
This paper studies situations in which information is ambiguous, and only part of it can be probabil...
This paper shows that a "principle of complete ignorance" plays a central role in decisions based on...
AbstractA primary motivation for reasoning under uncertainty is to derive decisions in the face of i...
In this paper, we study choice under uncertainty with belief functions on a set of outcomes as objec...
AbstractThis paper examines the applicability of belief funstions methodology in three reasoning tas...
In real-life decision problems, decision makers are never provided with the necessary background str...
In real-life decision problems, decision makers are never provided with the necessary background str...
In real-life decision problems, decision makers are never provided with the necessary background str...
In real-life decision problems, decision makers are never provided with the necessary background str...
In real-life decision problems, decision makers are never provided with the necessary background str...
In real-life decision problems, decision makers are never provided with the necessary background str...
Coherent imprecise probabilistic beliefs are modelled as incomplete comparative likelihood relations...
This is the publisher's version, which is being shared with permission, and which is also available ...
This is the publisher's version, which is being shared with permission, and which is also available ...
International audienceApproaches to decision-making under uncertainty in the belief function framewo...