【摘要】 针对多特征指标多传感器目标识别问题,提出了一种基于灰关联TOPSIS融合方法。利用置信距离作为新的属性评价值,通过求解各属性的置信距离的偏差平方和最大化的优化问题,求得属性的权重,利用灰关联度定义相对TOPSIS中的相对贴近度,进而给出目标识别方法。仿真实例验证了方法的有效性和实用性。更多还原

【Abstract】 Aiming at the target recognition problem of multi-sensor with multiple characteristic indexes,a new fusion method is proposed based on the basic ideology of traditional TOPSIS method with grey relation analysis. The method firstly takes the distance of confidence as a new attribute values,and then the weights of attributes are derived by solving the optimal programming of maximizing the total square deviation of the confidence distance for all attributes. The relative approach degree is defined using grey relational degree,and thus the rule of target recognition is given. Numerical simulation illustrates the effectiveness and practicality of this proposed method.更多还原