Copyright © 2005 Elsevier B.V. All rights reserved.
Modeling partially reliable information sources: A general approach based on Dempster–Shafer theory
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Received 30 October 2004;
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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.
Keywords: Dempster–Shafer theory; Probabilistic argumentation; Combining testimonial reports; Unreliable sources; Sensor fusion; Judgment aggregation; Probabilistic algorithms
Article Outline
- 1. Introduction
- 1.1. Existing models
- 1.1.1. Approach No. 1
- 1.1.2. Approach No. 2
- 1.1.3. Approach No. 3
- 1.1.4. Approach No. 4
- 1.2. Goals and overview
- 2.The general model
- 3. Taxonomy of models
- 3.1. Overview
- 3.2. Complete models
- 3.3. Incomplete models
- 3.4. Reliability-based models
- 3.5. Computing the parameters
- 3.6. Modeling prior knowledge
- 4. Case studies
- 4.1. The model (CPI)
- 4.2. The model (CL)
- 4.3. The model (CD)
- 4.4. The model (CPR)
- 4.5. The model (CYR)
- 5. Conclusion
- Acknowledgements
- References







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