Evaluating the Contribution of Uncertainty Management to a Fusion System

Abstract

By its very nature, fusion requires managing uncertainty. While uncertainty management is built into many standard low-level fusion algorithms, and the importance of uncertainty management is widely recognized at all levels of the JDL hierarchy, there is less commonality of approaches to uncertainty management for high-level fusion. Evaluation of the contribution of uncertainty management to a fusion system is distinct from, although related to, evaluating the fusion system as a whole. The evaluation should consider the purpose for which fusion is being performed, and measure the contribution of uncertainty management to this purpose. The concept of expected value of sample information from decision theory provides a conceptual framework for thinking about the role of uncertainty management in fusion systems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2013
Accession Number
ADA606152

Entities

People

  • Kathryn B. Laskey
  • Paulo C. G. Costa

Organizations

  • George Mason University

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Data Association
  • Data Sets
  • Decision Theory
  • Errors
  • False Alarms
  • Information Operations
  • Machine Learning
  • Military Research
  • Multitarget Tracking
  • Probability
  • Probability Distributions
  • Rules Of Engagement
  • Standards
  • Test And Evaluation
  • Uncertainty

Readers

  • Artificial Intelligence
  • Organizational Process Management (OPM).
  • Sensor Fusion and Tracking Systems.