基于熵权的多传感器目标识别方法

针对具有多个特征指标的多目标识别问题,提出了一种基于熵权的多传感器信息融合方法。该方法根据熵论的基本原理定义熵权,通过引入优异度、次异度的概念,采用相对接近度来评判距离的大小,从而给出目标识别规则。该方法利用熵权避免了特征指标权重选取的主观性,提高了目标识别结果的客观性和准确性。工件识别实例验证了算法的有效性和可操作性。

Multi-sensor target recognition based on entropy weight

Aimming at the problem of multi-target recognition with many characteristic indexes,a new fusion method for the fuzzy muti-sensor data is proposed according to the entropy weight.The method defines the entropy weight according to the theory of entropy,introduces the notations of the optimal and suboptimal membership degrees and uses the relative approach degree to measure the distance.Hence the rule of target recognition is given.The method may avoid the subjectivity of the weight of characteristic indexes and improve the objectivity and accuracy of target recognition.The example of parts recognition proves that the method is both effective and exercisable.