Information Quality Effects on Information Fusion

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Authors
  1. Rogova, G.
  2. Bossé, E.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN)
Abstract
In this report, we present results from simulation and analysis that show how to take into account data/information reliability into fusion processes. The report gives the results of an analysis of the main approaches used to address information/data/source reliability. The question of reliability and existence of prior knowledge that impact the data fusion processes, is discussed in the context of probability, possibility, evi-dential, or fuzzy sets theories. We consider reliability as a second level of uncertainty (uncertainty of evaluation of uncertainty) representing a measure of the adequacy of the model used and the state of the environment observed; so then, reliability represents adequacy of each belief model to the reality. The report reviews, as well, the existing methods of building reliability functions based on probabilistic, possibilistic, evidential frameworks and their effectiveness.

Il y a un résumé en français ici.

Report Number
DRDC-VALCARTIER-TR-2005-270 — Technical Report
Date of publication
01 May 2008
Number of Pages
48
DSTKIM No
CA030738
CANDIS No
529448
Format(s):
Hardcopy;CD ROM

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