运用Theil不均衡指数进行模糊传感器数据融合

Fuzz muli-sensor data fusion using Theil disequilibrium index

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Theil不均衡指数的融合方法。该方法根据Theil不均衡指数来定义熵权,通过三角隶属函数获得各传感器的局部决策支持度,采用熵权得到全局综合支持度,从而给出目标识别规则。较好地避免了特征指标权重选取受主观因素的影响,提高了目标识别结果的客观性和准确性。应用实例验证了算法的有效性和可操作性。

Aimed at the recognition problem of multi-targets which have many characteristic indexes,a new fusion method for the fuzzy multi-sensor data is proposed according to Theil disequilibrium index.The method applies Theil disequilibrium index to define the entropy weight,introduces the local decision support degree by the triangular membership function,and utilizes the entropy weight to obtain the global comprehensive support degree.Hence the rule of object 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 applied examples prove that the method is both effective and exercisable.