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Reliability in the Thresholded Dempster-Shafer Algorithm for ESM Data Fusion

  • Melita Hadzagic
  • Marie-Odette St-Hilaire
  • Pierre Valin
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 164)

Abstract

The effectiveness of a multi-source information fusion process for decision making highly depends on the quality of information that is received and processed. This paper proposes methods for incorporating reliability, as one of the attributes of the quality of information, into the Thresholded Dempster-Shafer fusion algorithm for Electronic Support Measure (ESM) data fusion and delivers its quantitative assessment by evaluating statistically the performance of the fusion algorithm. The results suggest that accounting for the reliability of information in the fusion algorithm will lead to an improved decision making.

Keywords

Monte Carlo Fusion Process Information Fusion Fusion Algorithm Basic Probabilistic Assignment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Melita Hadzagic
    • 1
  • Marie-Odette St-Hilaire
    • 2
  • Pierre Valin
    • 3
  1. 1.Centre de Recherches MathémathiquesUniversité de MontréalMontréalCanada
  2. 2.OODA Technologies Inc.MontrealCanada
  3. 3.C2 Decision Support Systems SectionDefence R&D Canada ValcartierNord QuébecCanada

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