Classic Works of the Dempster-Shafer Theory of Belief Functions
By Ronald R. Yager, Liping Liu. Classic Works of the Dempster-Shafer Theory of Belief Functions, 2010
485 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/c4864548bad35c6ef5f9b6591650ed85ccf31c96
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In Artificial Intelligence
- Nancy Reid
- D. R. Cox
- Lalit Kumar
- Mustafa Neamah Jebur
- Farzin Shabani
- Mahyat Shafapour Tehrany
- A. C. Davison
- Chandra R. Bhat
Citations in the corpus
- Evaluating the application of the statistical index method in flood susceptibility mapping and its comparison with frequency ratio and logistic regression methods (2018, background): “In addition, the output result of the Dempster–Shafer parameters (belief, disbelief, uncertainty (doubt), and plausibility) have to be defined as accurately as possible in order to achieve a reasonable final map (Dempster 2008).”
- On Some Principles of Statistical Inference (2015, background): “…for instance, possible modifications needed in quantum mechanics, the development of upper and lower probabilities (Walley, 1990) and the development of belief functions, often called Dempster–Shafer theory; an overview of the last is available in Yager & Liu (2008); see also Hannig & Xie (2012).”