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.!12
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