Application of the possibilistic approach to correlation and tracking

G. Fred Kramer; I. R. Goodman

doi:10.1117/12.357187

27 July 1999 Application of the possibilistic approach to correlation and tracking

G. Fred Kramer, I. R. Goodman

Proceedings Volume 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII; (1999) https://doi.org/10.1117/12.357187
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

G. Fred Kramer and I. R. Goodman "Application of the possibilistic approach to correlation and tracking", Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); https://doi.org/10.1117/12.357187

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