AbstractIn this paper we focus on the theoretical properties of non-numerical representation of the uncertainty. As usual, this representation is realized by an “ordinal relation” (or, equivalently, by a “comparative scale”) among the “entities” (events, alternatives or acts) of a specific problem. After giving an overview of different known axioms characterizing some classes of ordinal relations (and their duals), we introduce some axioms to enclose the necessary and sufficient conditions for the representability of ordinal relations (defined on arbitrary finite sets of events) by the most-known uncertainty measures
AbstractThis paper investigates a purely qualitative approach to decision making under uncertainty. ...
summary:When proposing and processing uncertainty decision-making algorithms of various kinds and pu...
AbstractThe aim of this paper is to formalize, within a broad range of theories of imprecise probabi...
In this paper we focus on the theoretical properties of non-numerical representation of the uncertai...
AbstractIn this paper we focus on the theoretical properties of non-numerical representation of the ...
We characterize (in terms of necessary and sufficient conditions) binary relations representable by ...
summary:We characterize (in terms of necessary and sufficient conditions) binary relations represent...
International audienceThe aim of this work is to provide a unified framework for ordinal representat...
I define confidence relations on Boolean lattices, which can be interpreted as ordinal representatio...
summary:Axioms are given for positive comparative probabilities and plausibilities defined either on...
ksInternational audienceMeasure theory relies on numerical set-functions. Here we consider relations...
This paper proposes a definition of relative uncertainty aversion for decision models under complete...
This paper investigates the problem of finding a preference relation on a set of acts from the knowl...
This paper proposes a new framework of choice under uncertainty, where the only information availabl...
In many practical situations, we have a (partially) ordered set V of different values. For example, ...
AbstractThis paper investigates a purely qualitative approach to decision making under uncertainty. ...
summary:When proposing and processing uncertainty decision-making algorithms of various kinds and pu...
AbstractThe aim of this paper is to formalize, within a broad range of theories of imprecise probabi...
In this paper we focus on the theoretical properties of non-numerical representation of the uncertai...
AbstractIn this paper we focus on the theoretical properties of non-numerical representation of the ...
We characterize (in terms of necessary and sufficient conditions) binary relations representable by ...
summary:We characterize (in terms of necessary and sufficient conditions) binary relations represent...
International audienceThe aim of this work is to provide a unified framework for ordinal representat...
I define confidence relations on Boolean lattices, which can be interpreted as ordinal representatio...
summary:Axioms are given for positive comparative probabilities and plausibilities defined either on...
ksInternational audienceMeasure theory relies on numerical set-functions. Here we consider relations...
This paper proposes a definition of relative uncertainty aversion for decision models under complete...
This paper investigates the problem of finding a preference relation on a set of acts from the knowl...
This paper proposes a new framework of choice under uncertainty, where the only information availabl...
In many practical situations, we have a (partially) ordered set V of different values. For example, ...
AbstractThis paper investigates a purely qualitative approach to decision making under uncertainty. ...
summary:When proposing and processing uncertainty decision-making algorithms of various kinds and pu...
AbstractThe aim of this paper is to formalize, within a broad range of theories of imprecise probabi...