Fuzzy-AHP法在潜射巡航导弹命中概率分析中的应用

为准确评价潜射巡航导弹的命中概率,对影响命中概率的因素进行了具体分析,建立了潜射巡航导弹命中概率综合评价的指标体系.应用模糊综合评判及层次分析法,给出了综合评价的数学模型.对算例的仿真计算,得出了较为可信的结果.结果表明应用此方法,可以更准确的对潜射巡航导弹的命中概率进行评估,为潜射巡航导弹的研发及使用保障提供决策参考.     

Synchronization in hub terminals with the circular arrangement problem

Hub terminals are important entities in modern distribution networks and exist for any transportation device, that is, cross docks and parcel distribution centers for trucks, container ports for ships, railway yards for trains, and hub airports for aircraft. In any of these hubs, the mid‐term planning task of synchronizing the transshipment of goods and passengers when servicing the transportation devices has to be solved, for which many different solution approaches specifically tailored to the respective application exist. We, however, take a unified view on synchronization in hubs and aim at a general building block. As a point of origin, a basic vertex ordering problem, the circular arrangement problem (CAP), is identified. We explain the relation between the CAP and hub processes, develop suited algorithms for solving the CAP, and extend the basic CAP by multiple additions, for example, arrival times, limited storage space, and multiple service points, make the problem adaptable to a wide range of hub terminals. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 454–469, 2015     

军事情报价值的当量评估法

研究了军事情报价值的综合性和相对性,提出了军事情报价值评估的当量分析法,分别针对确定性标度和模糊标度结合层次分析法给出了评估算法。算例结果表明方法有一定的合理性且评价结论易于理解。     

两级修理模式下民机修理级别非经济性分析研究

针对两级修理模式在飞机维修规划中得到逐步重视的问题,提出了两级修理模式下民机修理级别非经济性分析模型。其中基于GJB-2961-1997标准,建立了两级修理级别分析的指标体系,在此基础上,利用模糊层次分析法确定各评价指标的权系数,并对灰色关联系数加权得到灰色关联度,实现了基于模糊层次分析法和灰色关联分析法的飞机修理级别综合评估。最后通过实例分析,验证了所提模型的合理性和有效性。     

基于层次分析法的舰舰导弹武器系统作战环境指数研究

针对海况、大气波导、海浪杂波等环境因素对舰舰导弹武器系统作战效能的影响,采用层次分析法构建了舰舰导弹武器系统作战环境指数的层次结构,同时量化了各目标层的有关因子,确定了各目标层的权重,并建立了舰舰导弹武器系统作战环境指数的评估方法。经算例分析表明:该方法能够评估复杂环境条件对舰舰导弹作战效能的影响,为舰舰导弹的作战使用提供辅助决策支持。     

船舶电力系统模拟训练评估算法

针对船舶电力模拟训练评估系统的设计与实现问题,分析了构建指标体系的方法。依据设计原则,设计了船舶电力模拟训练的评估指标体系。确定了各评估指标的算法,并根据层次分析法构建权重集,然后运用模糊评判理论建立了综合评估模型。选取某船电力系统模拟训练考核的实例,进行了考核和综合评估,结果表明:该方法科学,可操作性强。     

舰船水消防系统战斗损伤的智能重构决策与应用

针对当前舰船水消防系统监控点信息孤立、智能化决策程度不高的问题,构建了基于节点的水消防系统功能逻辑模型,提出了基于战斗损伤的水消防系统破损隔离重构使用智能决策算法,并据此开发了水消防智能监控系统。案例对比计算和系统测试检验的结果表明,该智能决策算法以及智能监控系统可以有效提升分析决策的速度和精度,显著提高指挥控制的效率,为水消防系统的战斗破损使用提供有效的支撑。     

融合图嵌入的Smooth-PCANet图像识别算法

主成分分析网络（Principal Component Analysis Network,PCANet）是一种简单的深度学习算法,在图像识别领域具有优秀的性能。然而PCANet在构建网络卷积核时只关注了图像的主分量信息,忽视了近邻像素点之间的位置关系。而通常情况下,图像的相邻像素点具有空间强相关性,因此利用图结构保持像素点的位置近邻关系更有利于网络提取有效特征。因此,我们将图嵌入思想融入PCANet,提出一种新的图像识别算法Smooth-PCANet。为了验证Smooth-PCANet算法的有效性,我们在人脸、手写体字符以及图片等不同数据集上构建实验,并将Smooth-PCANet与多种基于深度学习的图像识别算法作了对比。实验结果证明,Smooth-PCANet算法比PCANet获得了更高的识别性能,并且更有效地避免了过拟合,在小样本训练时具有显著优势。     

Modeling of unsupervised knowledge graph of events based on mutual information among neighbor domains and sparse representation

Text event mining, as an indispensable method of text mining processing, has attracted the extensive attention of researchers. A modeling method for knowledge graph of events based on mutual information among neighbor domains and sparse representation is proposed in this paper, i.e. UKGE-MS. Specifically, UKGE-MS can improve the existing text mining technology's ability of understanding and discovering high-dimensional unmarked information, and solves the problems of traditional unsupervised feature selection methods, which only focus on selecting features from a global perspective and ignoring the impact of local connection of samples. Firstly, considering the influence of local information of samples in feature correlation evaluation, a feature clustering algorithm based on average neighborhood mutual information is proposed, and the feature clusters with certain event correlation are obtained; Secondly, an unsupervised feature selection method based on the high-order correlation of multi-dimensional statistical data is designed by combining the dimension reduction advantage of local linear embedding algorithm and the feature selection ability of sparse representation, so as to enhance the generalization ability of the selected feature items. Finally, the events knowledge graph is constructed by means of sparse representation and l₁ norm. Extensive experiments are carried out on five real datasets and synthetic datasets, and the UKGE-MS are compared with five corresponding algorithms. The experimental results show that UKGE-MS is better than the traditional method in event clustering and feature selection, and has some advantages over other methods in text event recognition and discovery.     

抢险救灾工程破碎机械保障效能评估

破碎作业是抢险救灾工程保障的重要内容.以抗震救灾工程机械抢险作业理论与实践为基础,运用层次分析法构建了工程破碎机械保障效能评价指标体系,探索了相应的评价方法,并应用于工程保障实践.实践表明,该方法有利于抢险救灾科学决策,对合理选配工程机械,提高突发事件工程保障效能具有积极的促进作用.