Uncertainty in Artificial Intelligence
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Generalizing Fuzzy Logic Probabilistic Inferences
Silvio Ursic
Abstract:
Linear representations for a subclass of boolean symmetric functions selected by a parity condition are shown to constitute a generalization of the linear constraints on probabilities introduced by Boole. These linear constraints are necessary to compute probabilities of events with relations between the. arbitrarily specified with propositional calculus boolean formulas.
Keywords: Boolean Symmetric Functions, Probabilistic Inferences
Pages: 337-362
PS Link:
PDF Link: /papers/86/p337-ursic.pdf
BibTex:
@INPROCEEDINGS{Ursic86,
AUTHOR = "Silvio Ursic ",
TITLE = "Generalizing Fuzzy Logic Probabilistic Inferences",
BOOKTITLE = "Uncertainty in Artificial Intelligence 2 Annual Conference on Uncertainty in Artificial Intelligence (UAI-86)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1986",
PAGES = "337--362"
}


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