Combination and Propagation of Uncertainty with Belief Functions - A Reexamination
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Automated Reasoning. Pages 111-112.
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 .
@inproceedings{ijcai1985p20,
title = {Combination and Propagation of Uncertainty with Belief Functions - A Reexamination},
author = {Dubois, Didier and Prade, Henri},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {111--112},
year = {1985},
note = {Automated Reasoning},
url = {https://ijcai.org/proceedings/1985/20},
}
TY - CPAPER TI - Combination and Propagation of Uncertainty with Belief Functions - A Reexamination AU - Dubois, Didier AU - Prade, Henri T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 111 EP - 112 UR - https://ijcai.org/proceedings/1985/20 ER -Copied
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