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为了优化多传感器信息融合方法,提出了一种基于Vague集的多传感器信息融合方法。首先定义了改进的Vague集的相似度量方法,通过层次分析法确定了各传感器的权重。然后定义了各目标与正负理想目标的距离,利用相对贴近度来确定最佳方案。最后通过仿真实例说明了该方法的有效性和实用性。
In order to optimize the multi-sensor information fusion method, a multi-sensor information fusion method based on Vague sets is proposed. Firstly, the similarity measure method of the improved Vague set is defined, and the weight of each sensor is determined through the analytic hierarchy process. Then define the distance between each goal and the ideal goal, use the relative proximity to determine the best solution. Finally, an example is given to illustrate the effectiveness and practicability of this method.