Modeling partially reliable information sources: A general approach based on Dempster-Shafer theory

Authors:
Rolf Haenni;Stephan Hartmann
Affiliations:
Institute of Computer Science and Applied Mathematics, University of Berne, CH-3012 Berne, Switzerland;Department of Philosophy, London School of Economics, London WC2A 2AE, United Kingdom and Center for Junior Research Fellows, University of Konstanz, D-78457 Konstanz, Germany
Venue:
Information Fusion
Year:
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.