Title :
URREF reliability versus credibility in information fusion (STANAG 2511)
Author :
Blasch, Erik ; Laskey, Kathryn Blackmond ; Jousselme, Anne-Laure ; Dragos, Valentina ; Costa, P.C.G. ; Dezert, Jean
Author_Institution :
Air Force Res. Lab., Rome, NY, USA
Abstract :
For many operational information fusion systems, both reliability and credibility are evaluation criteria for collected information. The Uncertainty Representation and Reasoning Evaluation Framework (URREF) is a comprehensive ontology that represents measures of uncertainty. URREF supports standards such as the NATO Standardization Agreement (STANAG) 2511, which incorporates categories of reliability and credibility. Reliability has traditionally been assessed for physical machines to support failure analysis. Source reliability of a human can also be assessed. Credibility is associated with a machine process or human assessment of collected evidence for information content. Other related constructs for URREF are data relevance and completeness. In this paper, we seek to develop a mathematical relation of weight of evidence using credibility and reliability as criteria for characterizing uncertainty in information fusion systems.
Keywords :
inference mechanisms; ontologies (artificial intelligence); sensor fusion; uncertainty handling; NATO STANAG 2511; NATO standardization agreement 2511; URREF; collected information; comprehensive ontology; credibility; data completeness; data relevance; evaluation criteria; failure analysis; human assessment; information content; information fusion systems; machine process; physical machines; source reliability; uncertainty measures; uncertainty representation and reasoning evaluation framework; Cognition; Data models; Measurement uncertainty; Ontologies; Reliability; Sensors; Uncertainty; Credibility; PCR5; Reliability; STANAG2511; URREF;
Conference_Titel :
Information Fusion (FUSION), 2013 16th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-605-86311-1-3