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Proceedings Paper

Application of the possibilistic approach to correlation and tracking
Author(s): G. Fred Kramer; I. R. Goodman
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Paper Abstract

This paper considers the fuzzy logic analogue of a basic alternative conditioning approach to bayesian updating of a parameter of interest. This is useful, when only linguistic information, or a combination of linguistic and stochastic information, is present, and the fuzzy set analogue of either the input conditional or prior distributions are not obtainable. For the first time, in conjunction with new results unifying conditional event algebra, conditional fuzzy sets, and one-point coverage representations of fuzzy sets and operations, a completely rigorous justification is presented for the above fuzzy logic analogue.

Paper Details

Date Published: 27 July 1999
PDF: 10 pages
Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); doi: 10.1117/12.357187
Show Author Affiliations
G. Fred Kramer, SPAWAR San Diego (United States)
I. R. Goodman, SPAWAR San Diego (United States)


Published in SPIE Proceedings Vol. 3720:
Signal Processing, Sensor Fusion, and Target Recognition VIII
Ivan Kadar, Editor(s)

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