URREF Reliability Versus Credibility in Information Fusion

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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2013
Accession Number
ADA615607

Entities

People

  • Anne-laure Jousselme
  • Erik Blasch
  • Jean Dezert
  • Kathryn B. Laskey
  • Paulo C. G. Costa
  • Valentina Dragos

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Cyber

DTIC Thesaurus Topics

  • Accuracy
  • Air Force Research Laboratories
  • Algorithms
  • Data Fusion
  • Data Sets
  • Engineering
  • Literature Surveys
  • Mathematical Models
  • Military Research
  • Models
  • Ontologies
  • Reasoning
  • Reliability
  • Resource Management
  • Standards
  • Test And Evaluation
  • Uncertainty

Readers

  • Artificial Intelligence
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.