A fuzzy modeling approach to decision fusion under uncertainty
Fuzzy Sets and SystemsPublished 1 August 2000
V.N.S. Samarasooriya, Pramod K. Varshney
Citations26
SJR quartileQ1
SJR score0.75
SNIP1.25
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Abstract
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 defuzzified 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.
Keywords
Computer ScienceDecision SciencesEngineering
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