基于预配装思想的物资混装配载优化策略

提出了一种基于预配载思想的装备物资混装配载策略,并应用模糊聚类和混合智能算法进行了实例仿真。研究对于组合优化策略在装备保障信息化系统建设中的应用具有积极意义。     

灰色模糊理论在弹药安全管理系统评价中的应用

弹药安全管理系统评价是综合运用安全系统工程的方法对系统的安全性进行度量和预测。将灰色模糊数学理论应用于弹药安全管理系统评价,通过分析影响安全管理水平的因素,建立了系统综合评价指标体系,在此基础上进行了系统综合评价并得到了满意的效果。     

农业面源污染控制的土壤生物热力学方法论

随着农业的发展,农业面源污染问题日益突出,农业面源污染已成为危害生态 环境的最重要的因子。在简要分析了农业面源污染的成因和目前农业面源污染研究情况的 基础上,对土壤生物热力学在农业面源控制上的应用机理进行了具体的阐述,结果表明土壤 生物热力学在指导农业生产过程中充盈着清洁生产理念,为农业面源污染控制提供了理论 基础和科学方法。     

基于Rough集理论的数据库推理通道动态消除

提出了一种基于Rough集理论的数据库推理泄漏通道消除方法。在由数据库中所有数据生成的不完备决策表上,该方法应用Rough集理论,分析提取出敏感和非敏感数据之间的确定性推理关系,以此产生推理控制规则。利用这些规则对数据库系统返回给普通用户的数据动态地做最小修改,防止推理通道的产生。实验结果表明,该方法可扩展性强,在保证较高的数据库安全性的同时提高了数据可用性。     

马克思主义理论教学模式探析

近年来,大学生(包括部队院校大学生)在学习马克思主义理论课的过程中存在着比较严重的厌学现象,重要原因之一就是理论教学模式陈旧,使学生在马克思主义理论“有什么用”、“对谁有用”等问题上产生了程度不同的模糊认识。因此,必须构建马克思主义理论课教学的新模式。     

A multi‐objective model for bank ATM networks

In this paper we present an application of the core solution concepts for multi‐objective games to a bank ATM network model. In these games, the worth of a coalition is given by a subset of vectors of the k‐dimensional space rather than by a scalar. The paper investigates how an ATM network model based on multi‐objective cooperative game theory could be used as an alternative way of setting interchange fees paid by the customer's bank to the one that owns the ATM. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2005     

Network routing for insurgency: An adversarial risk analysis framework

Problems in counterterrorism and corporate competition have prompted research that attempts to combine statistical risk analysis with game theory in ways that support practical decision making. This article applies these methods of adversarial risk analysis to the problem of selecting a route through a network in which an opponent chooses vertices for ambush. The motivating application is convoy routing across a road network when there may be improvised explosive devices and imperfect intelligence about their locations. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

Allocating capacity in parallel queues to improve their resilience to deliberate attack

We develop models that lend insight into how to design systems that enjoy economies of scale in their operating costs, when those systems will subsequently face disruptions from accidents, acts of nature, or an intentional attack from a well‐informed attacker. The systems are modeled as parallel M/M/1 queues, and the key question is how to allocate service capacity among the queues to make the system resilient to worst‐case disruptions. We formulate this problem as a three‐level sequential game of perfect information between a defender and a hypothetical attacker. The optimal allocation of service capacity to queues depends on the type of attack one is facing. We distinguish between deterministic incremental attacks, where some, but not all, of the capacity of each attacked queue is knocked out, and zero‐one random‐outcome (ZORO) attacks, where the outcome is random and either all capacity at an attacked queue is knocked out or none is. There are differences in the way one should design systems in the face of incremental or ZORO attacks. For incremental attacks it is best to concentrate capacity. For ZORO attacks the optimal allocation is more complex, typically, but not always, involving spreading the service capacity out somewhat among the servers. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

开展军事理论课程教学的思考

军事理论课程教学,在武警部队“合训”院校课程设置中所处的位置越来越重要。如何在由培养工程技术类干部向指挥类干部“学历教育合训”为主的转变过程中,提高军事理论课程讲授的效益和质量,关键在于军事理论课程教学方法的选择与应用。     

干扰方式选择方法的研究

为实现对雷达的有效干扰,应选择最佳干扰方式。将干扰效能分为干扰效果和干扰效率2个方面,并对这2方面进行了定量描述,提出了新的干扰效能评估算法,建立了雷达对抗策略矩阵,在此基础上运用对策论的相关原理,研究了干扰方式的选择问题,最后结合实例进行了检验。结果表明,该方法可以有效得出最佳干扰方式。