Combination of Evidence in Dempster-Shafer Theory
By Kari Sentz, Scott Ferson. 2002
1,226 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/3de62b3ce8b5de79ccc6e381eedbd49a328a520f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Scott Ferson
- William Oberkampf
- Lev Ginzburg
- Thierry Denoeux
- Philippe Smets
- Joey Tianyi Zhou
- Fari Sentz
- Vladik Kreinovick
Citations in the corpus
- An efficient method for reliability analysis under epistemic uncertainty based on evidence theory and support vector regression (2015, background): “Some modified versions of Dempster’s rule can be found in Yager, Fedrizzi, and Kacprzyk (1994) and other combination rules can be found in Sentz and Ferson (2002).”
- Trusted Multi-View Classification With Dynamic Evidential Fusion (2022, background): “DST allows beliefs from different sources to be combined by various fusion operators to obtain a new belief that considers all available evidence [74], [75].”
- Advances and Applications of DSmT for Information Fusion (2004, neutral): “Whereas reduced (or constrained) hyper-power set DΘ M (or DΘ(M)) from Chapter 4 in [14] arises from DΘ by identifying of all M-equivalent elements.”
- Constructing Probability Boxes and Dempster-Shafer Structures (2003, background): “Smith (1995) reviews several techniques for deriving distribution bounds, including limitations on entropy, which we do not discuss.”
- Analyzing the combination of conflicting belief functions (2007, background): “Recently [78] present a good survey of the combination rules.”
- Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence (2008, background): “, [11,25,40], and reviews in [27] and [37]).”