AbstractWe generalize the TBM (transferable belief model) to the case where the frame of discernment is the extended set of real numbers R=[-∞,∞], under the assumptions that ‘masses’ can only be given to intervals. Masses become densities, belief functions, plausibility functions and commonality functions become integrals of these densities and pignistic probabilities become pignistic densities. The mathematics of belief functions become essentially the mathematics of probability density functions on R2
AbstractIn this paper, we propose the plausibility transformation method for translating Dempster–Sh...
In a recent paper Ronald Meester and Timber Kerkvliet argue by example that infinite epistemic regre...
In this paper new theoretical results for reasoning with belief functions are obtained and discussed...
We generalize the TBM (transferable belief model) to the case where the frame of discernment is the ...
AbstractThis paper extends the theory of belief functions by introducing new concepts and techniques...
AbstractThe transferable belief model is a subjectivist model of uncertainty in which an agent’s bel...
Abstract. Belief functions have been proposed for modeling someone's de-grees of belief. They p...
International audienceWe extend the notion of belief function to the case where the underlying struc...
AbstractBelief and plausibility functions have been introduced as generalizations of probability mea...
In this paper, we extend Smets' transferable belief model (TBM) with probabilistic priors. Our first...
The Transferable Belief Model is a subjectivist model of uncertainty in which an agent’s beliefs at ...
A belief function can be viewed as a generalized probability function and the belief and plausibilit...
In this paper, we would like to give Dempster and Shafer's belief function theory an interpreta...
: Belief functions are mathematical objects defined to satisfy three axioms that look somewhat simil...
This 12-pp paper is extracted from a longer unpublished working paper: "On Transforming Belief Funct...
AbstractIn this paper, we propose the plausibility transformation method for translating Dempster–Sh...
In a recent paper Ronald Meester and Timber Kerkvliet argue by example that infinite epistemic regre...
In this paper new theoretical results for reasoning with belief functions are obtained and discussed...
We generalize the TBM (transferable belief model) to the case where the frame of discernment is the ...
AbstractThis paper extends the theory of belief functions by introducing new concepts and techniques...
AbstractThe transferable belief model is a subjectivist model of uncertainty in which an agent’s bel...
Abstract. Belief functions have been proposed for modeling someone's de-grees of belief. They p...
International audienceWe extend the notion of belief function to the case where the underlying struc...
AbstractBelief and plausibility functions have been introduced as generalizations of probability mea...
In this paper, we extend Smets' transferable belief model (TBM) with probabilistic priors. Our first...
The Transferable Belief Model is a subjectivist model of uncertainty in which an agent’s beliefs at ...
A belief function can be viewed as a generalized probability function and the belief and plausibilit...
In this paper, we would like to give Dempster and Shafer's belief function theory an interpreta...
: Belief functions are mathematical objects defined to satisfy three axioms that look somewhat simil...
This 12-pp paper is extracted from a longer unpublished working paper: "On Transforming Belief Funct...
AbstractIn this paper, we propose the plausibility transformation method for translating Dempster–Sh...
In a recent paper Ronald Meester and Timber Kerkvliet argue by example that infinite epistemic regre...
In this paper new theoretical results for reasoning with belief functions are obtained and discussed...