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Information Sciences, 2021
The Dempster–Shafer (DS) theory of evidence can combine evidence with one parameter. The evidential reasoning (ER) approach is an extension of DS theory that can combine evidence with two parameters (weights and reliabilities).
Yuan-Wei Du
exaly +2 more sources
The Dempster–Shafer (DS) theory of evidence can combine evidence with one parameter. The evidential reasoning (ER) approach is an extension of DS theory that can combine evidence with two parameters (weights and reliabilities).
Yuan-Wei Du
exaly +2 more sources
Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection
IEEE transactions on multimedia, 2023Multispectral pedestrian detection is an important and valuable task in many applications, which could provide a more accurate and reliable pedestrian detection result by using the complementary visual information from color and thermal images.
Qing Li +4 more
semanticscholar +1 more source
Communications in Statistics - Theory and Methods, 2023
Dempster-Shafer theory (DST) has attracted wide attention in many fields thanks to its strong advantages over probability theory. Whereas the uncertainty measure of basic belief assignment (BBA) in DST is an open and essential problem.
Zhe Liu +3 more
semanticscholar +1 more source
Dempster-Shafer theory (DST) has attracted wide attention in many fields thanks to its strong advantages over probability theory. Whereas the uncertainty measure of basic belief assignment (BBA) in DST is an open and essential problem.
Zhe Liu +3 more
semanticscholar +1 more source
Journal of Intelligent & Fuzzy Systems, 2023
Dempster-Shafer theory (DST) has attracted widespread attention in many domains owing to its powerful advantages in managing uncertain and imprecise information.
Haojian Huang +4 more
semanticscholar +1 more source
Dempster-Shafer theory (DST) has attracted widespread attention in many domains owing to its powerful advantages in managing uncertain and imprecise information.
Haojian Huang +4 more
semanticscholar +1 more source
Engineering applications of artificial intelligence, 2021
Dempster–Shafer theory (DST) has extensive and important applications in information fusion. However, when the evidences are highly conflicting with each other, the Dempster’s combination rule often leads to a series of counter-intuitive results. In this
Hongfei Wang +3 more
semanticscholar +1 more source
Dempster–Shafer theory (DST) has extensive and important applications in information fusion. However, when the evidences are highly conflicting with each other, the Dempster’s combination rule often leads to a series of counter-intuitive results. In this
Hongfei Wang +3 more
semanticscholar +1 more source
Dempster-Shafer Theory for Stock Selection
2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 2021The Dempster-Shafer theory is used to develop a stock selection method. Monte Carlo algorithms are employed to approximate Dempster’s combination rule to overcome the high computational complexity of the method. Numerical results are obtained to compare the proposed method with another Dempster-Shafer based stock selection method and the S&P 500 ...
Nima Salehy, Giray Ökten
openaire +1 more source
International journal of imaging systems and technology (Print), 2021
Deep learning‐based applications for disease detection are essential tools for experts to effectively diagnose diseases at different stages. In this article, a new approach based on an evidence based fusion theory is proposed, allowing the combination of
Safa Ben Atitallah +4 more
semanticscholar +1 more source
Deep learning‐based applications for disease detection are essential tools for experts to effectively diagnose diseases at different stages. In this article, a new approach based on an evidence based fusion theory is proposed, allowing the combination of
Safa Ben Atitallah +4 more
semanticscholar +1 more source
, 2020
Floods are one of the most widespread natural hazards occurring across the globe. The main objective of this study was to produce flood susceptibility maps for the province of Salzburg, Austria, using two multi-criteria decision analysis (MCDA) models ...
Thimmaiah Gudiyangada Nachappa +5 more
semanticscholar +1 more source
Floods are one of the most widespread natural hazards occurring across the globe. The main objective of this study was to produce flood susceptibility maps for the province of Salzburg, Austria, using two multi-criteria decision analysis (MCDA) models ...
Thimmaiah Gudiyangada Nachappa +5 more
semanticscholar +1 more source
A clash in Dempster-Shafer theory
10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2005In this paper, we justify Dempster's rule of combination under Shafer's interpretation of belief functions. Then, we argue that there is a clash in Dempster-Shafer (D-S) theory. That is, the definition which Shafer gives for belief function Bel/sub /spl infin// is not consistent with his interpretation for the belief function.
Wei Xiong, Xudong Luo, Shier Ju
openaire +1 more source
MODELLING DEPENDENCE IN DEMPSTER-SHAFER THEORY
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007Belief functions can only be combined by Dempster's rule when they are based on independent items of evidence. This paper proposes a method for handling the case where there is some probabilistic dependence among the items of evidence. The method relies on compact representations of joint probability distributions on the assumption variables associated
Paul-André Monney, Moses W. Chan
openaire +1 more source