Modeling Uncertain and Vague Knowledge in Possibility and Evidence Theories
Abstract
This paper advocates the usefulness of new theories of uncertainty for the purpose of modeling some facets of uncertain knowledge, especially vagueness, in AI. It can be viewed as a partial reply to Cheeseman's (among others) defense of probability.
Cite
Text
Dubois and Prade. "Modeling Uncertain and Vague Knowledge in Possibility and Evidence Theories." Conference on Uncertainty in Artificial Intelligence, 1988.Markdown
[Dubois and Prade. "Modeling Uncertain and Vague Knowledge in Possibility and Evidence Theories." Conference on Uncertainty in Artificial Intelligence, 1988.](https://mlanthology.org/uai/1988/dubois1988uai-modeling/)BibTeX
@inproceedings{dubois1988uai-modeling,
title = {{Modeling Uncertain and Vague Knowledge in Possibility and Evidence Theories}},
author = {Dubois, Didier and Prade, Henri},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1988},
url = {https://mlanthology.org/uai/1988/dubois1988uai-modeling/}
}