Combination and Propagation of Uncertainty with Belief Functions - A Reexamination
Abstract
The behavior of Dempster's rule of combination in typical situations is examined. Particularly, it is shown that assessing a zero value or a very small value may lead to very different results. Moreover a comparison with a possibility theory-based approach in case of conflicting information is provided. The general problem of representing uncertainty with one or several numbers is addressed. Lastly, the propagation of uncertainty from a fact and if...then... rule is discussed in the framework of belief functions.
Cite
Text
Dubois and Prade. "Combination and Propagation of Uncertainty with Belief Functions - A Reexamination." International Joint Conference on Artificial Intelligence, 1985.Markdown
[Dubois and Prade. "Combination and Propagation of Uncertainty with Belief Functions - A Reexamination." International Joint Conference on Artificial Intelligence, 1985.](https://mlanthology.org/ijcai/1985/dubois1985ijcai-combination/)BibTeX
@inproceedings{dubois1985ijcai-combination,
title = {{Combination and Propagation of Uncertainty with Belief Functions - A Reexamination}},
author = {Dubois, Didier and Prade, Henri},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1985},
pages = {111-113},
url = {https://mlanthology.org/ijcai/1985/dubois1985ijcai-combination/}
}