论文部分内容阅读
在传感器识别性能不理想的情况下,其给出的属性信息质量较低,传统的冲突度量难以客观地对它们之间的相异程度进行定量描述.为此,定义了一种新的冲突度量,该度量可以很好地对来自同类和异类目标的属性信息进行区分.在新冲突度量的基础上,采用多维分配算法实现了属性信息相关.理论分析和仿真实验均表明了所提出的基于新冲突度量的属性信息相关算法的有效性.
When the performance of sensor recognition is not satisfactory, the quality of attribute information given by it is low, and it is difficult for traditional conflict metrics to objectively describe the degree of dissimilarity between them.For this purpose, a new conflict metric is defined , Which can distinguish the attribute information from the same type and heterogeneous target well.On the basis of the new conflict metric, the multi-dimension assignment algorithm is used to realize the correlation of attribute information.Theoretical analysis and simulation experiments show that the proposed new algorithm based on the new Effectiveness of Algorithms Related to Attribute Information in Conflict Measurement.