most citedPractical Uses of Belief Functions

104 citations · 241 across the 16 of their papers we have counts for

collaborators

17 papers

cs.AI2013

Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (1991)

Piero Bonissone, Bruce D'Ambrosio, Philippe Smets

This is the Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence, which was held in Los Angeles, CA, July 13-15, 1991

cs.AI201333 cited

Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (1992)

Bruce D'Ambrosio, Didier Dubois, Philippe Smets +1

This is the Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence, which was held in Stanford, CA, July 17-19, 1992

cs.AI20135 cited

Decision under Uncertainty

Philippe Smets

We derive axiomatically the probability function that should be used to make decisions given any form of underlying uncertainty.

cs.AI201314 cited

Default Reasoning and the Transferable Belief Model

Philippe Smets, Yen-Teh Hsia

Inappropriate use of Dempster's rule of combination has led some authors to reject the Dempster-Shafer model, arguing that it leads to supposedly unacceptable conclusions when defa…

cs.AI20136 cited

Computational Aspects of the Mobius Transform

Robert Kennes, Philippe Smets

In this paper we associate with every (directed) graph G a transformation called the Mobius transformation of the graph G. The Mobius transformation of the graph (O) is of major si…

cs.AI201361 cited

The Transferable Belief Model and Other Interpretations of Dempster-Shafer's Model

Philippe Smets

Dempster-Shafer's model aims at quantifying degrees of belief But there are so many interpretations of Dempster-Shafer's theory in the literature that it seems useful to present th…