Results 231 to 240 of about 1,414,385 (278)

Conditional Belief Functions Versus Proper Belief Functions

2003
Dempster-Shafer conditional belief functions are generally not usable because composition of conditional belief functions is not granted to yield joint multivariate belief distribution, as some values of the belief distribution may be negative [1,3].
Mieczyslaw Alojzy Klopotek, Slawomir Tadeusz Wierzchon   +1 more
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Functional belief and judgmental belief

Synthese, 2017
A division between functional (animal) belief, on the one hand, and judgmental (reflective) belief, on the other, is central to Sosa’s two-tier virtue epistemology. For Sosa, mere functional belief is constituted by a first-order affirmation (or, perhaps, a simple disposition to affirm). In contrast, a judgmental belief is an intentional affirmation; a
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APPROXIMATION OF BELIEF FUNCTIONS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2003
This paper addresses the approximation of belief functions by probability functions where the approximation is based on minimizing the Euclidean distance. First of all, we simplify this optimization problem so it becomes equivalent to a standard problem in linear algebra.
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On belief functions

1992
The present state of development of Dempster-Shafer theory is surveyed and its place among theories of dealing with uncertainty in AI is discussed. No knowledge of the theory is assumed.
Petr Hájek, David Harmanec
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Analyzing belief function networks with conditional beliefs

2011 11th International Conference on Intelligent Systems Design and Applications, 2011
The success of Bayesian networks is due to their capability to simply represent (in)dependence and to be a compact representation of a full joint distribution of the set of random variables involved in the studied system. Since belief function theory is known as a general framework to reason under uncertainty, it is expected that belief function ...
Imen Boukhris, Zied Elouedi, Salem Benferhat   +2 more
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Bayesian updating and belief functions

IEEE Transactions on Systems, Man, and Cybernetics, 1992
In a situation of uncertainty, the probability measure \(P\) is only known to belong to some set of probability measures \(\mathcal P\). Having observed a certain event \(E\), the true probability measure belongs to the set \({\mathcal P}^ E\) of conditionals of the members \(P\) of \(\mathcal P\) with respect to \(E\). Representing \({\mathcal P}^ E\)
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Earth Mover’s divergence of belief function

Computational and Applied Mathematics, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Peilin Liu, Fuyuan Xiao
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Understanding belief functions

2020
From the previous chapter’s summary of the basic notions of the theory of evidence, it is clear that belief functions are rather complex objects.
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Functional Self-Efficacy Beliefs Influence Functional Capacity Evaluation

Journal of Occupational Rehabilitation, 2007
The relationship between functional self-efficacy and Functional Capacity Evaluation (FCE) lift performance was examined in workers' compensation claimants' with low back pain.A cross-sectional design was used. Forty-two claimants with back pain and 38 subjects without back pain were enrolled.
Alexander K, Asante, E Sharon, Brintnell, Douglas P, Gross   +2 more
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Belief functions versus probability functions

1988
Two models are proposed to quantify someone's degree of belief, based respectively on probability functions, the Bayesian model, and on belief functions, the transferable belief model (Shafer 1976). The first, and by far the oldest, is well established and supported by excellent axiomatic and behaviour arguments.
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