机械设备视情维修决策系统的研究与开发

从技术的角度讨论了为机械设备开发维修决策支持系统的必要性、可行性及系统技术关键的解决策略,以及系统开发中对人力资源的需求,为开发这样的系统提供技术与管理上的支持.     

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。     

基于 Petri 网的决策组织结构设计

决策组织设计的首要问题是如何获得可行的组织结构。决策组织作为典型的分布式智能系统,利用Ｐｅｔｒｉ网生成其可行的组织结构是极广泛采用的方法,并已取得很多成果。该文是对这一领域的过去、现在和未来的综述。     

平面上任给五个点确定椭圆的作图

本文所研究探讨的是:在平面上任给五个点(任三个点不在同一直线上),当构成的两个射影线束中对应直线对互不平行时所确定椭圆的作图方法。     

过椭圆外一定点作其法线的求解分析及其几何逼近作图

对过椭圆外一定点的法线作图问题作了探讨,指出了几何作图法的不可解性。根据椭圆与其法线的几何特征关系建立了求解法线的解析方程,分析了法线问题解析求解的繁杂性。提出了一种几何逼近作图方法,并具体给出了该方法的几何作图步骤。     

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.     

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。     

神经网络在目标属性识别中的应用研究

首先介绍了目标属性识别的方法,并对多属性决策模型(MultipleAttributeDecisionModel,MADM)目标属性识别模型进行了分析,在此基础上提出了基于神经网络的目标属性识别模型,其能有效地解决目标属性识别问题。     

军区营房管理辅助决策信息系统设计研究

为满足现代战争对后勤保障提出的新要求,改革传统的营房保障模式,根据信息系统、数据库及网络建设的理论,通过对军区营房管理部门组织结构、工作流程、业务内容、部门权限的分析,提出了军区营房管理辅助决策信息系统设计的要求、系统的配置、系统主要模块划分等内容,为系统的进一步开发搭建了框架。