【摘要】 将OWA算子引入到多传感器属性信息融合领域中来,建立了基于OWA算子的两级式多传感器目标识别推理模型。通过合理选择OWA算子中加权向量的与或度及各类传感器的属性权,有效地调整各传感器之间的融合程度,使整个目标识别系统的性能得到进一步提高。文末以该模型的目标识别实例表明了该方法的有效性和实用性。更多还原

【Abstract】 The Ordered Weighted Averaging(OWA) Operator is briefly described, then it is used in the multisensor attribute information fusion. Based on the OWA operator, a two-level attribute information fusion model is introduced. According to the orness of the associated weighting vector, the fusion degree of the sensors is adjusted. Finally, the target recognition example based on this fusion model shows that this method is efficient and correct.更多还原