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In order to leverage discrepancy of Sensor for attributes fusion in Heterogeneous Sensor System, Weighted Sensor attributes Fusion Based on OWA (Ordered Weighted Averaging) operators is proposed, in which attributes collecting from various sensors would be transformed according to sensor Weights and then attribute Fusion should be performed with normalized attributes, which would improve performance for attribute Fusion in Heterogeneous Sensor System and guide decision making in target recognition. Furthermore, an illustrative case study is given to validate our proposed techniques.
