Modeling uncertain and vague knowledge in possibility and evidence theories
Artificial Intelligence
2013-04-10 v1
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.
Keywords
Cite
@article{arxiv.1304.2349,
title = {Modeling uncertain and vague knowledge in possibility and evidence theories},
author = {Didier Dubois and Henri Prade},
journal= {arXiv preprint arXiv:1304.2349},
year = {2013}
}
Comments
Appears in Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988)