论文部分内容阅读
针对目标特征值和测量值均以区间数表达的多传感器目标识别问题,提出了一种不确定性融合方法.该方法定义区间相离度,通过对特征值的区间聚类和诱导有序加权平均算子集结得到属性的权重,利用综合相离度给出目标识别方法.能够克服属性权重选取的主观性,提高了目标识别结果的可信度.仿真实例验证了所提出方法的有效性和实用性.
Aiming at the multisensor target recognition problem that the target eigenvalues and measured values are all expressed in intervals, an uncertain fusion method is proposed. The method defines the phase resolution of the interval, and through the interval clustering of eigenvalues and the induced weighting The average operators gather the weights of the attributes and use the comprehensive resolution to give the target recognition method, which can overcome the subjectivity of the attribute weight selection and improve the credibility of the target recognition results. Simulation results show the effectiveness of the proposed method and Practicality.