基于ADC方法的复杂武器系统效能评估方法

ADC方法是武器装备效能评估的重要方法之一。传统ADC方法一般将武器系统各个分系统简化为串联系统计算。针对复杂武器系统中各个分系统组成繁多、串并联关系复杂、对作战影响程度不一等特点,对ADC方法进行了优化,使得ADC方法可以针对多并联系统更客观地评估。通过某型武器装备的实际验证,改进后的ADC方法合理可行,可以对复杂武器系统拥有更客观和更全面地评价,可作为其他复杂武器系统效能评估方法的参考。     

基于系统动力学的网络空间作战指挥效能评估?

针对网络空间作战指挥效能评估问题,运用系统动力学方法进行了研究。通过层次熵分法对网络空间作战指挥效能评估指标体系进行了指标权重赋值,依托系统动力学方法建立了指挥效能评估模型并进行了仿真实验,分析了不同条件下指标对指挥效能的影响情况,为研究如何提高网络空间作战指挥效能提供决策依据。     

改进的AHP法在目标价值排序中的应用

针对在应用AHP法时,传统的标度法可能导致判断矩阵一致性与思维一致性脱节,进而破坏层次分析法的优选排序功能的问题。首先分析了传统的1～9标度的不足,然后通过引入指数(0,2)标度,建立了满足一致性要求的判断矩阵,改进了层次分析法。最后将改进的AHP法应用于战场炮兵的主要攻击目标价值排序的评估,进一步提高了评估的准确性。     

两栖装甲车辆水上操纵性的提高与评价

对采用履带划水推进方式的两栖装甲车辆的水上操纵性进行了分析,没出了极高其水上操纵性的基本途径,并对操纵性的评价指标进行了探讨,对提高操纵性,加强试验研究提出了建议.     

最低价中标情况下的施工管理研究

最低价中标法作为国际上通行的建筑工程招投标方法,随着我国建筑市场的 发展和工程量清单计价制度的推行,已经具备其实施的客观条件。针对目前实施最低价中 标法工程施工阶段存在的问题,提出结合工程量清单计价从合同管理、保证金制度、工程保 险、质量管理等方面提出了解决的思路。     

Individual preferences and the demand for military expenditure*

Whose preferences determine the tradeoff between security and civilian output in deciding upon budget allocations to defence? This paper considers the role that consumer preferences might play in influencing military spending. We propose normative criteria to judge the economic or political efficiency of defence provision at a given time, and test them using Australian survey‐based micro‐data. Our results suggest that the political system has not delivered a simple social‐choice translation of individual preferences into collective outcomes, nor has it delivered results consistent with simple majority‐voting median preferences.     

大型复杂武器装备质量综合评价及其支持系统设计

从大型复杂武器装备系统的具体特点出发,运用基于TOPSIS主成分价值函数模型的主成分分析法（PCA）,构建了大型复杂武器装备质量综合评估模型。进行了实证分析,结果表明,该方法的应用使前三个主成分综合携带了原系统全部信息的96.04%,避免了信息的重叠和交叉,也克服了主观因素对评价的影响,更客观全面地反映了设备的质量状况。最后通过对其支持系统的设计,实现对企业与部队不同质量管理决策层的信息支持。     

复杂电磁环境下组网雷达探测能力仿真评估研究

为研究复杂电磁环境与组网方式对组网雷达探测能力的影响,构建了复杂电磁环境下雷达探测能力云规则算法模型和探测能力评估模型,然后利用Netlogo仿真平台实现了对3组复杂电磁环境下雷达组网方案探测能力的仿真和评估．仿真结果表明复杂电磁环境对组网雷达探测能力影响明显,通过调整组网方式可以有效提高组网雷达探测能力．     

基于ADC模型的反舰导弹火力运用效能评估分析

针对反舰导弹的火力运用的特点,运用基于ADC模型的作战效能评估方法,分析了传统的作战能力概算模型的内涵,完善了“平台生存概率”、“航空兵拦截概率”和“导弹抗干扰能力”三项评估要素,得到了新的评估要素表达式,该表达式比较客观地反映了战场的实际情况,较好地满足了反舰导弹火力运用效能评估的需求。     

Balancing and optimizing a portfolio of R&D projects

A mathematical formulation of an optimization model designed to select projects for inclusion in an R&D portfolio, subject to a wide variety of constraints (e.g., capital, headcount, strategic intent, etc.), is presented. The model is similar to others that have previously appeared in the literature and is in the form of a mixed integer programming (MIP) problem known as the multidimensional knapsack problem. Exact solution of such problems is generally difficult, but can be accomplished in reasonable time using specialized algorithms. The main contribution of this paper is an examination of two important issues related to formulation of project selection models such as the one presented here. If partial funding and implementation of projects is allowed, the resulting formulation is a linear programming (LP) problem which can be solved quite easily. Several plausible assumptions about how partial funding impacts project value are presented. In general, our examples suggest that the problem might best be formulated as a nonlinear programming (NLP) problem, but that there is a need for further research to determine an appropriate expression for the value of a partially funded project. In light of that gap in the current body of knowledge and for practical reasons, the LP relaxation of this model is preferred. The LP relaxation can be implemented in a spreadsheet (even for relatively large problems) and gives reasonable results when applied to a test problem based on GM's R&D project selection process. There has been much discussion in the literature on the topic of assigning a quantitative measure of value to each project. Although many alternatives are suggested, no one way is universally accepted as the preferred way. There does seem to be general agreement that all of the proposed methods are subject to considerable uncertainty. A systematic way to examine the sensitivity of project selection decisions to variations in the measure of value is developed. It is shown that the solution for the illustrative problem is reasonably robust to rather large variations in the measure of value. We cannot, however, conclude that this would be the case in general. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 18–40, 2001