ID 原文 译文
40346 针对有源压制干扰下的相控阵雷达(Phased array radar，PAR)多目标跟踪时间资源优化配置问题，提出了一种基于互信息(Mutual information，MI)的配置算法。 An algorithm based on mutual information(MI) is proposed for the time resource optimal allocation of phased array radar(PAR), which focuses on multi-target tracking under active suppression jamming.
40347 采用MI准则作为目标跟踪性能量化指标，推导了包含时间变量的雷达回波与路径增益矩阵MI表达式， The MI criterion is used as the quantitative indicator of target tracking, and the MI expression of the radar echo and the path gain matrix which contains the time variable is derived.
40348 建立了时间资源优化配置模型，并采用改进的遗传算法实现了模型求解。 Then the time resource optimal allocation model is established, and the improved genetic algorithm is used to solve the model.
40349 仿真结果表明，该算法能在有源压制干扰条件下最大化有效跟踪目标数，并提高有效跟踪目标的整体跟踪性能。 The simulation results show that the algorithm can maximize the number of effectively tracked targets under active suppression jamming, and the overall tracking performance of the effective tracking targets is improved.
40350 研究了勾股模糊数信息环境下属性值间存在内在关联性的多属性决策问题。 The multi-attribute decision making problem in the relationship between attribute values under Pythagorean fuzzy number information environment is researched.
40351 首先定义了基于t-模和t-余模的勾股模糊数运算； Firstly, the Pythagorean fuzzy number operations based on t-norm and t-conorm are defined.
40352 将Heronian平均融入到聚合算子的构建过程中； Then, the Heronian mean is integrated into the construction process of aggregation operator.
40353 讨论了勾股模糊Heronian平均算法的3个特征性质和经常使用的特例。 The three characteristic properties of Pythagorean fuzzy Heronian mean(PFHM) and its commonly used special cases are also discussed.
40354 然后构建了改进的勾股模糊决策模型，该模型在考虑输入属性值之间关联性的同时，提高了决策的使用范围。 In addition, a new improved Pythagorean fuzzy decision making model is constructed, which considers the relationship between input attribute values and improves the scope of decision-making.
40355 最后通过多属性决策实例验证了改进的决策模型合理有效。 Finally, an example of multiattribute decision making is provided to verify the rationality and effectiveness of the proposed model.