The paper describes a novel hierarchical multisensor data fusion algorithm adopting genetic algorithm. The relations of sensors are determined by means of fuzzy set operator that is better in mimicking the human reasoning process than the union and the intersection employed by traditional set theories. The parameters of the operator are found by genetic algorithms nearly optimally. The distinctive feature of the algorithm is its capability of fusing data in a near optimal manner when no information abo...
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