Titlebook: Scalable Uncertainty Management; Second International Sergio Greco,Thomas Lukasiewicz Conference proceedings 2008 Springer-Verlag Berlin He

braggadocio

concentrate

deforestation

An Efficient Algorithm for Naive Possibilistic Classifiers with Uncertain Inputs,to the underlying interpretation of possibilistic scales, possibilistic networks are either quantitative or qualitative. In this paper, we address possibilistic-based classification with uncertain inputs. More precisely, we first analyze Jeffrey’s rule for revising possibility distributions by uncer

CORD

candle

A Family of Tolerant Antidivision Operators for Database Fuzzy Querying, operator in the context of databases with fuzzy relations (i.e., relations that contain weighted tuples). We also study the way(s) this operator can be made tolerant to exceptions in order to limit the risk of obtaining empty answers.

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Rankle

Complement

wangle

Tractable Reasoning with Bayesian Description Logics,ralization of the . description logics, which is based on Bayesian networks. As an important feature, the new probabilistic description logics allow for flexibly combining terminological and assertional pieces of probabilistic knowledge. We show that the new probabilistic description logics are rich

THROB