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

Information Fusion 7:361-379 (2006)
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.
Keywords Dempster–Shafer theory  Probabilistic argumentation  Combining testimonial reports  Unreliable sources  Sensor fusion  Judgment aggregation  Probabilistic algorithms
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