Modeling Uncertain and Vague Knowledge in Possibility and Evidence Theories
Didier Dubois, Henri Prade
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.
PDF Link: /papers/88/p303-dubois.pdf
AUTHOR = "Didier Dubois
and Henri Prade",
TITLE = "Modeling Uncertain and Vague Knowledge in Possibility and Evidence Theories",
BOOKTITLE = "Uncertainty in Artificial Intelligence 4 Annual Conference on Uncertainty in Artificial Intelligence (UAI-88)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1988",
PAGES = "303--318"