Combining estimates using fuzzy sets

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395900, G06F 1500

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053574494

ABSTRACT:
A system for obtaining a estimate of a physical parameter. The system is a multiple point system, in that estimates are obtained from a number of distributed sensors at a single observation time, or alternatively, from a single sensor at a number of observation times. Each sensor point is associated with a processor that calculates an estimate pair, consisting of an estimate of the parameter and a variance. Each estimate pair is used to construct a membership function. The membership functions are combined, and the combined function is optimized to determine a final estimate.

REFERENCES:
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patent: 4839823 (1989-06-01), Matsumoto
patent: 5051932 (1991-09-01), Inoue et al.
Bezdek, "Partitions and Relations" from Pattern Recognition with Fuzzy Objective Function Algorithm, Plenum Press 1981, ISBN 0-306-40671-3, pp. 15-21.
Gath and Geva, "Unsupervised Optimal Fuzzy Clustering", from IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, No. 7, Jul., 1989, pp. 773-781.
Kashyap, Oh and Madan, "Robust Estimation of Sinusoidal Signals with Colored Noise Using Decentralized Processing", from IEEE Transactions on Acoustics, Speech & Signal Processing, vol. 38, No. 1, Jan., 1990.
Tom Williams; Fuzzy Logic Simplifier Complex Control Problems; Computer Design; Mar. 1, 1991; pp. 90-102.

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