Uncertainty in Artificial Intelligence
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A Fuzzy Logic Approach to Target Tracking
Chin-Wang Tao, Wiley Thompson
This paper discusses a target tracking problem in which no dynamic mathematical model is explicitly assumed. A nonlinear filter based on the fuzzy If-then rules is developed. A comparison with a Kalman filter is made, and empirical results show that the performance of the fuzzy filter is better. Intensive simulations suggest that theoretical justification of the empirical results is possible.
Pages: 310-314
PS Link:
PDF Link: /papers/92/p310-tao.pdf
AUTHOR = "Chin-Wang Tao and Wiley Thompson",
TITLE = "A Fuzzy Logic Approach to Target Tracking",
BOOKTITLE = "Proceedings of the Eighth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-92)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1992",
PAGES = "310--314"

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