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中文摘要：
由于传感器测量数据的不确定性,导致传统的关联方法关联正确率不高。引入可能性理论来表述测量数据的不确定性,很好地反映测量值与目标真值的相容程度,并建立了一种基于可能性分布的关联模型,将测量值与目标在特征分量上的统计距离进行模糊化,构造测量值关于目标的可能性分布,并量化二者之间的模糊关系,使关联问题转化为一种多目标决策问题。仿真实验验证了方法的有效性。
英文摘要：
Because of the uncertainty of the measurement data of sensors,association accuracy rate of the traditional association method is not high.The possibility theory is introduced to express the uncertainty of measurement data,and reflect the compatibility degree between measuremental value and true value.An association model based on the possibility distribution is developed,then statistics distance of each feature component on measurements and targets is fuzzified.Expresses the fuzzy relation between measurements and targets quantitatively through possibility distribution,then association problem is converted to a multi-target decision issue.The simulation experiment verifies the effectiveness of the proposed method.
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