针对弹道中段目标识别时间资源有限的问题,提出一种基于线性直觉模糊时间序列的目标融合识别方法.新模型通过直觉模糊线性相关函数表征弹道中段目标识别信息的实时模糊变化特性,构建目标识别结果的时序变化模型,将目标识别转换为直觉模糊时序变量间的寻优拟合问题,缩短了目标正确识别时间,提高了系统的识别效率.最后通过仿真实例验证了所提出方法的有效性和优越性.
Aiming at the problem of limited time sources for target recognition in the ballistic midcourse, an approach based on the linear intuitionistic fuzzy time series is presented. In this method, the linear intuitionistic fuzzy time series is represented as real-time fuzzy characteristics of ballistic target recognition information. Then the time series changing model for the target recognition results is constructed, which converts the target fusion recognition to the problem of optimum fitting between intuitionistic fuzzy variables, decreases the method complexity, shortens the recognition time and promotes the system efficiency. Finally, the experiments validate the effectiveness and superiority of the proposed method.