【摘要】 将OWA算子引入到多传感器信息融合领域中来,建立了基于OWA算子的两级式多传感器属性信息融合模型。通过合理调整OWA算子中加权向量的与或程度,适当选择各传感器探测数据的权重,从而有效地调整各传感器之间的融合程度,使整个系统的性能得到进一步提高。文末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 firstly, then it is used in the multisensor attribute information fusion. Based on the OWA operator, an attribute fusion model is introduced. According to the orness of the associated weighting vector, the fusion degree of the data provided by different 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