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Proceedings Paper

Possibilistic versus probabilistic trade-off for data association
Author(s): Christopher L. Bowman
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Paper Abstract

This paper discusses probabilistic, possibilistic, and symbolic logic approaches to data association as part of the multi-sensor integration (MSI) problem. Alternative probabilistic scoring equations are given with specific trades between max a posterori and chi-square scoring. Dempster-Shafer and fuzzy set approaches to treat data with high uncertainty-in-the- uncertainty are compared. The role of symbolic rule-oriented approaches especially as part of a fusion analyst workstation (FAWS) expert system is discussed. Lastly, an avionics MSI design trade example is presented.

Paper Details

Date Published: 22 October 1993
PDF: 11 pages
Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); doi: 10.1117/12.157775
Show Author Affiliations
Christopher L. Bowman, Ball Aerospace Systems Group (United States)

Published in SPIE Proceedings Vol. 1954:
Signal and Data Processing of Small Targets 1993
Oliver E. Drummond, Editor(s)

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