面向任务的装备维修保障力量解聚方法

针对传统的装备维修保障力量派遣模糊、效率低下等问题,以受损装备为研究对象,以装备受损部位与维修专业之间的关系矩阵、修复受损装备时限为研究内容,以快速、精确派遣维修保障力量为研究目的,建立了面向任务的装备维修保障力量解聚模型。最后,重点分析并实例应用了装备维修保障力量解聚方法。     

雷达维修保障系统效能的云重心评估

在雷达维修保障系统效能实际评估中,各项指标的参数通常以定性描述的形式来获得,模糊性和随机性较强。为了合理地处理模糊性、随机性以及定性描述与定量描述的关系,引入云重心评价法,提出一种基于多级云重心评价的雷达维修保障系统效能多级评估方法,得到了评估结果。该方法可以对各项指标进行优劣排序,评估结果较好地显示了当前系统效能的状态。     

基于贝叶斯网络的自动装弹机维修决策

在分析贝叶斯网络的结构和特点的基础上,以自动装弹机的部件输弹机为例,构建了输弹机不旋转故障模式的贝叶斯网络模型,并对网络模型进行训练和学习,在计算网络模型相关参数的基础上进行维修决策分析,梳理出排除输弹机不旋转故障的一般性方法,为研究自动装弹机的维修决策提供参考。     

Comparison of rank aggregation methods based on inherent ability

Ranking is a common task for selecting and evaluating alternatives. In the past few decades, combining rankings results from various sources into a consensus ranking has become an increasingly active research topic. In this study, we focus on the evaluation of rank aggregation methods. We first develop an experimental data generation method, which can provide ground truth ranking for alternatives based on their “inherent ability.” This experimental data generation method can generate the required individual synthetic rankings with adjustable accuracy and length. We propose characterizing the effectiveness of rank aggregation methods by calculating the Kendall tau distance between the aggregated ranking and the ground truth ranking. We then compare four classical rank aggregation methods and present some useful findings on the relative performances of the four methods. The results reveal that both the accuracy and length of individual rankings have a remarkable effect on the comparison results between rank aggregation methods. Our methods and results may be helpful to both researchers and decision‐makers.     

Augmented nested sampling for stochastic programs with recourse and endogenous uncertainty

We propose a novel simulation‐based approach for solving two‐stage stochastic programs with recourse and endogenous (decision dependent) uncertainty. The proposed augmented nested sampling approach recasts the stochastic optimization problem as a simulation problem by treating the decision variables as random. The optimal decision is obtained via the mode of the augmented probability model. We illustrate our methodology on a newsvendor problem with stock‐dependent uncertain demand both in single and multi‐item (news‐stand) cases. We provide performance comparisons with Markov chain Monte Carlo and traditional Monte Carlo simulation‐based optimization schemes. Finally, we conclude with directions for future research.     

基于二元语义和模糊理论的舰员级维修绩效评估方法

针对舰员级维修工作的特点,建立了绩效评估指标体系,将二元语义和模糊理论相结合,提出了一种舰员级维修绩效评估方法,并通过实例进行了计算和验证。该方法可以有效解决语言评价信息集结和运算中出现的信息丢失和扭曲,提高评估精度,为绩效管理的各环节工作提供了依据。     

基于SOA的网络化维修保障信息系统体系结构研究

随着信息技术的迅猛发展,网络化维修模式将会成为未来武器装备维修模式变革的潮流,而面向服务的体系架构即SOA(Service-Oriented Architecture),可以有效地解决传统的维修信息系统中所面临的"信息孤岛"和"功能孤岛"的问题,是实现网络化维修保障的重要基础之一。分析介绍面向服务架构SOA的概念、体系架构、技术实现,并结合网络化维修保障的具体需求,提出了一个基于SOA的网络化维修保障体系框架。     

某型导弹智能维修训练系统设计

智能维修训练系统是智能教学训练系统在故障维修领域的应用。以某型导弹武器系统为对象阐述了智能维修训练系统的设计和实现,研究了该系统的总体结构以及知识表示、学生模型、推理机制、仿真环境的实现方法。     

移动式C3I机动路线选择多准则决策折衷对话算法

提出非劣路径和满意路径的概念,给出准则网络图满意路径问题的数学模型,利用多准则决策理论和方法,通过构造辅助问题,研究辅助问题和非劣路径的关系,设计出多准则网络图的交互式满意路径算法。     

旋转单元电场矢量法的真解判定方法

旋转矢量法可被用来进行有源相控阵列的通道校准。每轮测试后在计算相应通道的幅相时会出现伪解。通过调整固定场矢量的幅度,进行两轮测试,判定两轮测试中绝对解不变的那组解为真解。其辨别方法,在有效判定真解的同时,也降低了计算量与测试量。另外,由于两轮测试时只需测量幅度信息,降低了测试设备复杂度。数值仿真结果证明了此方法的有效性。