Results 41 to 50 of about 13,623,354 (322)

Structure Functions are not Parton Probabilities [PDF]

open access: yes, 2001
We explain why contrary to common belief, the deep inelastic scattering structure functions are not related to parton probabilities in the target.Comment: 4 pages.
Bodwin   +9 more
core   +3 more sources

Belief Approach for Social Networks [PDF]

open access: yes, 2014
Nowadays, social networks became essential in information exchange between individuals. Indeed, as users of these networks, we can send messages to other people according to the links connecting us. Moreover, given the large volume of exchanged messages,
Dhaou, Salma Ben   +3 more
core   +4 more sources

Belief functions and default reasoning

open access: yesArtificial Intelligence, 2000
Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995)
Benferhat, Salem, Smets, P, Saffiotti, A
openaire   +4 more sources

Outer approximating coherent lower probabilities with belief functions

open access: yesInternational Journal of Approximate Reasoning, 2019
From an epistemic point of view, coherent lower probabilities allow us to model the imprecise information about a partially unknown probability. However, there are some issues that hinder their use in practice.
Ignacio Montes   +2 more
semanticscholar   +1 more source

Belief Interval-Based Distance Measures in the Theory of Belief Functions

open access: yesIEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018
In belief functions related fields, the distance measure is an important concept, which represents the degree of dissimilarity between bodies of evidence. Various distance measures of evidence have been proposed and widely used in diverse belief function
Deqiang Han, J. Dezert, Yi Yang
semanticscholar   +1 more source

RPC-EAU: Radar Plot Classification Algorithm Based on Evidence Adaptive Updating

open access: yesApplied Sciences
Accurately classifying targets and clutter plots is crucial in radar data processing. It is beneficial for filtering out a large amount of clutters and improving the track initiation speed and tracking accuracy of real targets.
Rui Yang, Yingbo Zhao
doaj   +1 more source

A Reliability-Based Multisensor Data Fusion with Application in Target Classification

open access: yesSensors, 2020
The theory of belief functions has been extensively utilized in many practical applications involving decision making. One such application is the classification of target based on the pieces of information extracted from the individual attributes ...
Gabriel Awogbami, Abdollah Homaifar
doaj   +1 more source

Combining partially independent belief functions [PDF]

open access: yesDecision Support Systems, 2015
The theory of belief functions manages uncertainty and also proposes a set of combination rules to aggregate opinions of several sources. Some combination rules mix evidential information where sources are independent; other rules are suited to combine ...
Mouna Chebbah   +2 more
semanticscholar   +1 more source

Unheard and Under‐Supported: Health‐Related Quality of Life in Children, Adolescents, and Young Adults With Sickle Cell Disease

open access: yesPediatric Blood &Cancer, EarlyView.
Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia   +7 more
wiley   +1 more source

Relative Reduction of Neighborhood-Covering Pessimistic Multigranulation Rough Set Based on Evidence Theory

open access: yesInformation, 2019
Relative reduction of multiple neighborhood-covering with multigranulation rough set has been one of the hot research topics in knowledge reduction theory.
Xiaoying You, Jinjin Li, Hongkun Wang
doaj   +1 more source

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