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A fuzzy modeling approach to decision fusion under uncertainty

✍ Scribed by V.N.S. Samarasooriya; P.K. Varshney

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
144 KB
Volume
114
Category
Article
ISSN
0165-0114

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✦ Synopsis

A multi-sensor decision fusion scheme is presented in which the probabilities associated with the local sensor decisions are known to vary in a nonrandom fashion around their design values. The uncertainties associated with the local decisions are modeled by means of fuzzy sets. A Bayesian approach is used to design the optimum fusion rule for the case where the local sensor decisions are statistically independent across the sensors. In order to reach a crisp decision, the global Bayesian risk is defuzziΓΏed using a criterion for mapping fuzzy sets on to the real line. The performance of the optimum fusion rule obtained is illustrated by means of a numerical example.

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