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Improved rule based rough set approach for target recognition

机译:改进的基于规则的粗糙集目标识别方法

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摘要

An incremental target recognition algorithm based on improved discernibility matrix in rough set theory is presented. We compare the new approach with our previous nonincremental algorithm in detail, especially analyze the temporal complexities of these two algorithms. Some comparable experiments have been completed in our "Information Fusion System for Communication Interception Information (IFS/CI/sup 2/)". Experiment results show that the new algorithm is more efficient than the previous while the recognition ratio is satisfying.
机译:提出了一种基于粗糙集理论的改进区分矩阵的增量目标识别算法。我们将新方法与以前的非增量算法进行了详细的比较,特别是分析了这两种算法的时间复杂性。在我们的“用于通信拦截信息的信息融合系统(IFS / CI / sup 2 /)”中,已经完成了一些可比较的实验。实验结果表明,在识别率令人满意的情况下,新算法比以前的算法效率更高。

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