Modeling Partially Reliable Information Sources: A General Approach Based on Dempster-Shafer Theory

Information Fusion 7:361-379 (2006)
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Abstract

Combining testimonial reports from independent and partially reliable information sources is an important epistemological problem of uncertain reasoning. Within the framework of Dempster–Shafer theory, we propose a general model of partially reliable sources, which includes several previously known results as special cases. The paper reproduces these results on the basis of a comprehensive model taxonomy. This gives a number of new insights and thereby contributes to a better understanding of this important application of reasoning with uncertain and incomplete information.

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Stephan Hartmann
Ludwig Maximilians Universität, München

Citations of this work

Bayesian Epistemology.Stephan Hartmann & Jan Sprenger - 2010 - In Duncan Pritchard & Sven Bernecker (eds.), The Routledge Companion to Epistemology. London: Routledge. pp. 609-620.
Probabilistic Logics and Probabilistic Networks.Rolf Haenni, Jan-Willem Romeijn, Gregory Wheeler & Jon Williamson - 2010 - Dordrecht, Netherland: Synthese Library. Edited by Gregory Wheeler, Rolf Haenni, Jan-Willem Romeijn & and Jon Williamson.

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References found in this work

The transferable belief model.Philippe Smets & Robert Kennes - 1994 - Artificial Intelligence 66 (2):191-234.
Upper and Lower Probabilities induced by a Multi- valued Mapping.Arthur Dempster - 1967 - Annals of Mathematical Statistics 38:325-339.

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