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Inferences in probability logic

โœ Scribed by Giangiacomo Gerla


Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
963 KB
Volume
70
Category
Article
ISSN
0004-3702

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โœฆ Synopsis


We define a particular fuzzy logic, able to manage information that is probabilistic in nature. In this logic the probabilistic theories are suitable fuzzy sets of formulas that turn out to be lower envelopes while only the complete probabilistic theories coincide with the probabilities.


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The objective of the present article is twofold: first, to provide ways for eliciting consistent a priori and conditional probabilities for a set of events representing pieces of evidence and hypotheses in the context of a rule based expert system. Then an algorithm is proposed which uses the least