Name
Title | ||
|---|---|---|
Modeling partially reliable information sources: A general approach based on Dempster-Shafer theory |
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.inffus.2005.06.005 | Information Fusion |
Keywords | Field | DocType |
general model,unreliable sources,dempster-shafer theory,probabilistic argumentation,judgment aggregation,important epistemological problem,important application,sensor fusion,general approach,probabilistic algorithms.,comprehensive model taxonomy,reliable information source,uncertain reasoning,probabilistic algorithms,judgement aggregation,combining testimonial reports,reliable source,better understanding,incomplete information,dempster–shafer theory,dempster shafer theory,philosophy,probabilistic algorithm,epistemology | Data mining,Computer science,Probabilistic analysis of algorithms,Sensor fusion,Judgment aggregation,Artificial intelligence,Probabilistic argumentation,Dempster–Shafer theory,Complete information,Machine learning | Journal |
Volume | Issue | ISSN |
7 | 4 | Information Fusion |
Citations | PageRank | References |
13 | 0.85 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rolf Haenni | 1 | 371 | 33.39 |
| Stephan Hartmann | 2 | 15 | 2.97 |