Results 91 to 100 of about 10,216,557 (216)

Automatic Updates of Transition Potential Matrices in Dempster-Shafer Networks Based on Evidence Inputs

open access: yesSensors, 2020
Sensor fusion is a topic central to aerospace engineering and is particularly applicable to unmanned aerial systems (UAS). Evidential Reasoning, also known as Dempster-Shafer theory, is used heavily in sensor fusion for detection classification.
Joel Dunham   +3 more
doaj   +1 more source

A new technique for combining multiple classifiers using the Dempster-Shafer theory of evidence

open access: yes, 2002
This paper presents a new classifier combination technique based on the Dempster-Shafer theory of evidence. The Dempster-Shafer theory of evidence is a powerful method for combining measures of evidence from different classifiers.
Al-Ani, Ahmed   +3 more
core  

Dempster-Shafer for Anomaly Detection [PDF]

open access: yes
In this paper, we implement an anomaly detection system using the Dempster-Shafer method. Using two standard benchmark problems we show that by combining multiple signals it is possible to achieve better results than by using a single signal.
Aickelin, Uwe, Chen, Qi
core  

Approximations for Decision Making in the Dempster-Shafer Theory of Evidence

open access: yesCoRR, 2013
The computational complexity of reasoning within the Dempster-Shafer theory of evidence is one of the main points of criticism this formalism has to face. To overcome this difficulty various approximation algorithms have been suggested that aim at reducing the number of focal elements in the belief functions involved.
openaire   +4 more sources

Equivalence of the Dempster-Shafer rule and the maximum likelihood rule implies convexity [PDF]

open access: yes
It is known that if a capacity is convex then the Dempster-Shafer rule for the capacity is equivalent to the maximum likelihood rule for the core of the capacity. This paper shows that the converse is also true that is, a capacity must be convex if these
Atsushi Kajii, Takashi Ui
core  

Dempster-Shafer's Basic Probability Assignment Based on Fuzzy Membership Functions

open access: yesELCVIA Electronic Letters on Computer Vision and Image Analysis, 2004
In this paper, an image segmentation method based on Dempster-Shafer evidence theory is proposed. Basic probability assignment (bpa) is estimated in unsupervised way using pixels fuzzy membership degrees derived from image histogram.
Abdel-Ouahab Boudraa   +2 more
doaj   +1 more source

Qualitative Dempster-Shafer Theory

open access: yes, 1993
This paper introduces the idea of using the Dempster-Shafer theory of evidence with qualitative values. Dempster-Shafer theory is a formalism for reasoning under uncertainty which may be viewed as a generalisation of probability theory with special ...
Simon Parsons, E. H. Mamdani
core  

D-S Evidence Fusion Method Based on High Conflict Correction [PDF]

open access: yesJisuanji gongcheng, 2018
Before using D-S(Dempster-Shafer) theory for evidence fusion,the extent of the conflict among evidences should be determined.Aiming at this problem,this paper proposes a conflict measure and correction method based on trust degree and false degree.It ...
MENG Yuanyuan,XU Liancheng,REN Min,WANG Yanfei
doaj  

A Study of Dempster-Shafer\u27s Theory of Evidence in Comparison to Classical Probability Combination [PDF]

open access: yes, 2009
A Study of Dempster-Shafer’s Theory of Evidence in Comparison to Classical Probability Combination Scott J. Seims This thesis is an assessment on the effectiveness of Dempster-Shafer’s Theory of Evidence in comparison to Classical Probabilistic ...
Seims, Scott J
core   +1 more source

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