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Modeling Uncertain and Vague Knowledge in Possibility and Evidence Theories
Didier Dubois, Henri Prade
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: null
Pages: 303-318
PS Link:
PDF Link: /papers/88/p303-dubois.pdf
BibTex:
@INPROCEEDINGS{Dubois88,
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"
}
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