武器雷达装备RCM分析决策系统

详细介绍了武器雷达装备RCM分析决策系统的体系结构、功能模块划分和数据库设计方法,并给出了系统的实现方案以及后续开发的设想。     

基于多资源点的装备应急器材调度决策模型

针对装备应急器材调度决策问题,从调度路径优化和调度计划分配2个方面,研究了其多目标优化模型的构建。将资源点划分为若干级别来确定资源点选取的优先次序,通过先求解资源点与需求点之间的最优路径,后求解器材资源分配量的思路,建立了装备应急器材调度决策的广义最优路径模型和运输模型,采用改进的Dijkstra算法对模型进行求解,仿真结果表明:所构建的决策模型及算法是有效的。     

基于协同学的编队协同空战任务决策

基于协同学理论给出了编队协同空战系统的协同学框架;提出了编队协同作战方案的五元组定义,明确了影响系统进程的序参量;基于系统有序度与协同度的概念,构建了协同效能优化模型;以任务冲突检测与消解为依据给出了任务决策的约束条件;最后以二进制粒子群优化算法对此约束优化问题进行了求解.仿真结果表明,以协同学理论描述编队协同任务决策问题是可行的,构建的协同效能模型与任务决策方法在处理编队时序任务决策问题时是有效的.     

一种新的多属性决策方法

针对模糊多属性决策问题,提出了一种新的属性值以三角模糊数形式给出的模糊多属性决策方法。首先定义了两三角模糊数的中心决策矩阵;其次通过引入方案间优势度和优势度比较矩阵概念及其计算公式,从而给出了方案的排序,实例分析说明了所提出的决策方法的合理性及其算法的有效性。     

大区域防空作战条件下防空兵作战方案的优选

大区域防空作战条件下防空作战指挥决策往往面临的是多目的(指标)决策,在分析作战指标的基础上对所选作战方案的益损值进行标准化处理和贴近度排序,并求出各方案的排序频数,将其转化为最优线性分派模型进行优化,从而使所有方案得到总体最优排序。     

基于．NET的装备保障辅助决策系统（ESADS）的设计与实现

介绍了一种基于.NET框架的异构数据库应用系统的集成方法,并设计开发了战时装备保障辅助决策系统。该方法利用XML的特点和.NET技术,将原有的应用系统数据源与系统分离,并能在各异构数据库之间快速交互数据,从而共享原有的装备管理信息,为战时装备保障决策提供数据资源。     

Efficient sequential decision‐making algorithms for container inspection operations

Following work of Stroud and Saeger (Proceedings of ISI, Springer Verlag, New York, 2006) and Anand et al. (Proceedings of Computer, Communication and Control Technologies, 2003), we formulate a port of entry inspection sequencing task as a problem of finding an optimal binary decision tree for an appropriate Boolean decision function. We report on new algorithms for finding such optimal trees that are more efficient computationally than those presented by Stroud and Saeger and Anand et al. We achieve these efficiencies through a combination of specific numerical methods for finding optimal thresholds for sensor functions and two novel binary decision tree search algorithms that operate on a space of potentially acceptable binary decision trees. The improvements enable us to analyze substantially larger applications than was previously possible. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

Production‐inventory systems with imperfect advance demand information and updating

We consider a supplier with finite production capacity and stochastic production times. Customers provide advance demand information (ADI) to the supplier by announcing orders ahead of their due dates. However, this information is not perfect, and customers may request an order be fulfilled prior to or later than the expected due date. Customers update the status of their orders, but the time between consecutive updates is random. We formulate the production‐control problem as a continuous‐time Markov decision process and prove there is an optimal state‐dependent base‐stock policy, where the base‐stock levels depend upon the numbers of orders at various stages of update. In addition, we derive results on the sensitivity of the state‐dependent base‐stock levels to the number of orders in each stage of update. In a numerical study, we examine the benefit of ADI, and find that it is most valuable to the supplier when the time between updates is moderate. We also consider the impact of holding and backorder costs, numbers of updates, and the fraction of customers that provide ADI. In addition, we find that while ADI is always beneficial to the supplier, this may not be the case for the customers who provide the ADI. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

武器系统概率指标的贝叶斯决策评定方法

剖析了武器系统试验工程领域中常用二项分布经典假设检验方法存在的问题,从贝叶斯决策思想和理论出发提出了概率指标评定的新方法,通过实例对比证明了贝叶斯决策评定方法有效解决了二项分布经典假设检验方法中存在的问题。     

两级融合系统中目标身份与行为识别技术

建立两级融合系统,联接一级、二级融合系统中的识别功能.提出基于模糊集理论的特征层目标识别技术,基于D-S理论、Bayes理论的时空域决策层目标识别技术、基于贝叶斯网络推理的行为识别技术.解决应用中普遍存在的目标特征界限模糊、身份冲突、身份不稳定、缺少行为识别信息等问题,实现对目标身份和行为的综合识别,以达到对目标的全面...