结合离差最大化的多属性群体决策TOPSIS威胁评估

针对传统理想解逼近排序法(TOPSIS)在确定多个属性权重系数上存在主观性和盲目性,并且所作决策多为单一决策,精确度不高等问题,提出结合离差最大化原理的多属性群体决策TOPSIS改进模型,利用离差最大化原理确定属性权值,同时引进群体决策方法。最后将该模型运用于机群协同空战的威胁评估中,建立了多目标威胁评估数学模型,并进行了全空战过程的动态仿真分析,结果表明所建立的扩展模型是合理可行的。     

助推滑翔飞行器复合控制系统线性化小偏差运动方程推导与控制系统设计

助推滑翔技术是制导武器实现增加射程、提高机动突防能力的关键技术之一,对飞行器姿态控制有较高的要求,需要设计复合控制方式的姿态控制系统.针对采用空气舵与燃气舵联动控制的飞行器,建立了动力学模型,详细推导了完整的三通道线性化小偏差运动方程,结合典型弹道数据给出了动力系数图像,分析了助推滑翔弹道各飞行段中飞行器的稳定性,在此基础上选取再入段低空飞行特征点进行了姿控系统设计,仿真结果验证了线性化小偏差运动方程的正确性和控制系统的有效性,为进行此类飞行器的稳定性分析与姿态控制系统设计提供了有益的参考.     

Maximizing deviation method for multiple attribute decision making under q-rung orthopair fuzzy environment

Because of the uncertainty and subjectivity of decision makers in the complex decision-making environment, the evaluation information of alternatives given by decision makers is often fuzzy and uncertain. As a generalization of intuitionistic fuzzy set (IFSs) and Pythagoras fuzzy set (PFSs), q-rung orthopair fuzzy set (q-ROFS) is more suitable for expressing fuzzy and uncertain information. But, in actual multiple attribute decision making (MADM) problems, the weights of DMs and attributes are always completely unknown or partly known, to date, the maximizing deviation method is a good tool to deal with such issues. Thus, combine the q-ROFS and conventional maximizing deviation method, we will study the maximizing deviation method under q-ROFSs and q-RIVOFSs in this paper. Firstly, we briefly introduce the basic concept of q-rung orthopair fuzzy sets (q-ROFSs) and q-rung interval-valued orthopair fuzzy sets (q-RIVOFSs). Then, combine the maximizing deviation method with q-rung orthopair fuzzy information, we establish two new decision making models. On this basis, the proposed models are applied to MADM problems with q-rung orthopair fuzzy information. Compared with existing methods, the effectiveness and superiority of the new model are analyzed. This method can effectively solve the MADM problem whose decision information is represented by q-rung orthopair fuzzy numbers (q-ROFNs) and whose attributes are incomplete.     

基于感知信息共享的C2网络特征分析

指挥控制（C2，Commandand Control）关系网络连接数的增加会增强指控节点之间的信息共享，但也会增加节点信息处理和交换负荷，如果达到一定程度，则会造成节点本身的“信息过载”从而影响C2网络性能。对此，通过研究C2网络在两种不同处理方式下的共享感知信息平均提交时间，用网络节点响应时间的均方差表征一个C2网络的共享态势感知时间的一致性，最后对两种不同结构C2网络特征参数的计算，说明了网络连接增加会导致信息提交时间的延长，但一致性会增强。     

自航水雷雷位误差对障碍毁伤概率影响分析

自航水雷障碍毁伤概率是其作战效能的重要指标之一。针对自航水雷(SLMM)雷位所具有的随机散布特性,建立了反映水雷障碍毁伤概率与雷位误差之间关系的理论模型,并对理论模型进行了仿真验证。利用该理论模型分析了自航水雷雷位误差对毁伤概率的影响,同时对自航水雷障碍期望雷位的优化配置方法进行了初步的探讨。     

一种16APSK信号载波残余频偏估计算法

文中提出了一种针对16A PSK信号的非数据辅助的载波残余频偏估计算法。该算法以判决后星座点的相位偏转量与判决符号数之间的数学关系为依据,通过对16APSK星座判决区域进行优化,并结合FFT方法求解相位偏转量的周期得以实现。仿真分析表明,在不同的信噪比条件下该算法通过选择适当的估计长度能快速完成高精度的频偏估计。     

On the exponentially weighted moving variance

MacGregor and Harris (J Quality Technol 25 (1993) 106–118) proposed the exponentially weighted mean squared deviation (EWMS) and the exponentially weighted moving variance (EWMV) charts as ways of monitoring process variability. These two charts are particularly useful for individual observations where no estimate of variability is available from replicates. However, the control charts derived by using the approximate distributions of the EWMS and EWMV statistics are difficult to interpret in terms of the average run length (ARL). Furthermore, both control charting schemes are biased procedures. In this article, we propose two new control charts by applying a normal approximation to the distributions of the logarithms of the weighted sum of chi squared random variables, which are respectively functions of the EWMS and EWMV statistics. These new control charts are easy to interpret in terms of the ARL. On the basis of the simulation studies, we demonstrate that the proposed charts are superior to the EWMS and EWMV charts and they both are nearly unbiased for the commonly used smoothing constants. We also compare the performance of the proposed charts with that of the change point (CP) CUSUM chart of Acosta‐Mejia (1995). The design of the proposed control charts is discussed. An example is also given to illustrate the applicability of the proposed control charts. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009     

应用全站仪综合测量火炮偏离角及俯仰半径

提出一种应用全站仪进行火炮偏离角和俯仰半径的综合测量方法。应用最小二乘原理拟合出火炮俯仰半径,然后解算出火炮偏离角,并用Monte Carlo方法分析了测量结果的精度。结果表明:全站仪高低角和火炮仰角的测量精度均对火炮偏离角和俯仰半径的测量结果无明显影响;全站仪测距精度对火炮俯仰半径测量结果的影响较大;全站仪水平角测量精度对火炮偏离角测量结果的影响明显。该方法在现场操作时需要重点关注全站仪水平观测角和测距的检测精度。     

基于目标识别的飞机偏离跑道测量技术

为了有效地避免飞机偏离跑道造成的事故,运用目标识别技术,对机场跑道的标线中心线和表示飞机滑跑方向的轮廓线进行了提取,并且进一步测量出标线的方向和飞机滑跑的方向,计算出两者之间的夹角.从而对飞机偏离跑道进行了定量的测量.实验表明,该技术测量的速度快,耗时少,且测量结果准确,能够有效地对飞机在跑道的滑跑情况进行监控,是一种有用的技术.     

基于偏差熵的专家聚类赋权方法

在群决策专家聚类赋权过程中,可能出现专家给出的判断矩阵一致性比率与排序向量信息熵都相等但专家意见不同,却被赋予了相同权重的情况。针对上述问题,提出一种基于偏差熵的专家聚类赋权方法。该方法采用聚类分析的思想,基于比例构建相似系数,实现对专家群的分类;引入专家判断矩阵的一致性权重,并综合类容量构建权重指标来反映类别间的差异,确定专家类间权重;最后,在各专家类中建立偏差熵模型,依据类中专家达成一致性意见的贡献程度确定专家的类内权重,并得到专家的总体权重。具体算例表明,该方法可行有效。