Modeling uncertain and vague knowledge in possibility and evidence theories
arXiv:1304.2349
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.
Appears in Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988)