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Relevance and truthfulness in information correction and fusion · Study

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ArticleRelevance and truthfulness in information correction and fusion

Frédéric Pichon2011

OA

Articlebronze2011

Relevance and truthfulness in information correction and fusion

Frédéric Pichon · Didier Dubois A · Thierry Denœux

96 citations·0/0 files stored·International Journal of Approximate Reasoning

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Multi-Criteria Decision Making Logic, Reasoning, and Knowledge Bayesian Modeling and Causal Inference

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References

1962Knowledge and belief 1988Representation and combination of uncertainty with belief functions and possibility measures 1986A SET-THEORETIC VIEW OF BELIEF FUNCTIONS Logical operations and approximations by fuzzy sets†2004Assessing Sensor Reliability for Multisensor Data Fusion Within the Transferable Belief Model 1986Arithmetic and other operations on Dempster-Shafer structures 2006Refined modeling of sensor reliability in the belief function framework using contextual discounting

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201640 years of Dempster–Shafer theory 2013Discounted combination of unreliable evidence using degree of disagreement 2011Belief functions contextual discounting and canonical decompositions 2011Evaluating Data Reliability: An Evidential Answer with Application to a Web-Enabled Data Warehouse 2017Using social media in crisis management: SOTERIA fusion center for managing information gaps

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Year2011

Typearticle

Published2011-02-26

VenueInternational Journal of Approximate Reasoning

ISSN-L0888-613X

Languageen

Citations96

Files0 public / 0

ShelfMulti-Criteria Decision Making

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doi10.1016/j.ijar.2011.02.006

openalex_workW2010365319

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