Information security: Designing a stochastic‐network for throughput and reliability

Todas information and communication network requires a design that is secure to tampering. Traditional performance measures of reliability and throughput must be supplemented with measures of security. Recognition of an adversary who can inflict damage leads toward a game‐theoretic model. Through such a formulation, guidelines for network designs and improvements are derived. We opt for a design that is most robust to withstand both natural degradation and adversarial attacks. Extensive computational experience with such a model suggests that a Nash‐equilibrium design exists that can withstand the worst possible damage. Most important, the equilibrium is value‐free in that it is stable irrespective of the unit costs associated with reliability vs. capacity improvement and how one wishes to trade between throughput and reliability. This finding helps to pinpoint the most critical components in network design. From a policy standpoint, the model also allows the monetary value of information‐security to be imputed. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009     

Maximizing deviation method for multiple attribute decision making under q-rung orthopair fuzzy environment

Because of the uncertainty and subjectivity of decision makers in the complex decision-making environment, the evaluation information of alternatives given by decision makers is often fuzzy and uncertain. As a generalization of intuitionistic fuzzy set (IFSs) and Pythagoras fuzzy set (PFSs), q-rung orthopair fuzzy set (q-ROFS) is more suitable for expressing fuzzy and uncertain information. But, in actual multiple attribute decision making (MADM) problems, the weights of DMs and attributes are always completely unknown or partly known, to date, the maximizing deviation method is a good tool to deal with such issues. Thus, combine the q-ROFS and conventional maximizing deviation method, we will study the maximizing deviation method under q-ROFSs and q-RIVOFSs in this paper. Firstly, we briefly introduce the basic concept of q-rung orthopair fuzzy sets (q-ROFSs) and q-rung interval-valued orthopair fuzzy sets (q-RIVOFSs). Then, combine the maximizing deviation method with q-rung orthopair fuzzy information, we establish two new decision making models. On this basis, the proposed models are applied to MADM problems with q-rung orthopair fuzzy information. Compared with existing methods, the effectiveness and superiority of the new model are analyzed. This method can effectively solve the MADM problem whose decision information is represented by q-rung orthopair fuzzy numbers (q-ROFNs) and whose attributes are incomplete.     

基于多目标多维模糊决策的装备战场损伤等级评定方法

针对装备战场损伤等级评定中具有较大的模糊性和随机性问题,应用多目标多维模糊决策的基本原理,提出一种带有信息熵和调控系数的目标函数,得到新的模糊决策识别矩阵和目标权重的计算模型,为装备战场损伤等级评定提供了一种有效方法。该方法根据3种不同情况,给出了相应的计算步骤,计算结果较准确地反映了装备战场损伤程度。新的计算模型不仅对多目标多维模糊决策理论模型的发展进行了尝试,而且丰富了装备战场损伤等级评定方法。     

装备战斗恢复力模糊评判模型的建立与应用

针对装备战斗恢复力的评价具有随机性、模糊性和相关性的特点 ,提出了用模糊评判模型分析装备战斗恢复力的方法。最后 ,以雷达系统为例 ,对该模型进行了应用分析     

高速方尾水面舰船兴波问题计算方法研究

将Dawson型兴波阻力计算方法推广用于高速方尾水面舰船兴波问题计算,在计算中同时计入了尾封板0静压力、尾倾与下沉等因素的影响.以两高速方尾水面舰船为例计算了兴波问题,将兴波阻力计算值与剩余阻力模型试验值进行了比较,求出了相应的相关系数.结果表明,本方法可较好地求解高速方尾水面舰船的兴波问题,兴波阻力相关系数可用于修正理论计算结果,以提高计算精度.     

基于区间数TOPSIS法优选空军战役作战计划

针对战役作战计划优选中的不确定性,运用区间分析和TOPSIS(Technique for Order Preference by Similarity to Ideal Solution)法探索空军战役作战计划优选问题.通过引进区间数乘法运算,将区间数多指标决策问题转变为指标为区间数的多指标决策问题,进而给出区间数多指标决策问题的TOPSIS法,对空军战役作战计划进行排序选优.与传统方法相比较,该方法较好地解决了评价指标为不确定值时的多指标决策问题.     

普通物理实验CAI的制作设想

普通物理学实验是公共必修课,随着电子技术迅速发展,多媒体已被广泛的运用,使人机交互能力大大提高,它正作为一种重要的教学媒体迅速应用于教学过程中,对促进教学现代化起着十分重要的作用.因此,制作CAI课件使学生由被动学习变主动学习,并能加深学生对实验内容的理解,对实验现象的观察和规范学生的实验操作技能,从而达到有效提高教学质量和教学效率的目的.     

水面舰船减阻节能球鼻艏理论及模型试验研究

基于线性兴波理论,对水面舰船加装减阻节能球鼻艏进行理论和试验研究,发现水面舰船加装减阻节能球鼻艏可获得较好的减阻效果。根据理论优化结果选取多个理论模型进行船模阻力及波形试验。试验结果表明,球鼻艏在特定的中高航速下可以使兴波阻力最多减少37%,总阻力最多减少15%。     

论公安边防部队基层决策中的公众参与

公安边防部队基层决策中的公众参与，是指凡涉及公众利益而无需保密的重大决策，基层边防部队在决策的各个环节。都要吸收公众有序参与，并使决策充分反映民意。在国际金融危机和国内转型期条件下，基层边防部队要不断优化公众参与决策的环境，实行决策公开，推行决策听证，发挥网络优势，畅通民意反映渠道，并健全完善回应、考评、监督、纠错、问责等保障机制。实现公众参与决策健康持续进行。     

基于模糊综合评判法的敌空袭主攻方向预测研究

针对主攻方向预测的主要特点,运用模糊理论探索解决其主观推理、决策问题。应用隶属函数及变权重模糊综合评判方法分析,建立了评估模型,得到了类似人主观判断的结果,最后通过示例说明应用模糊综合评判法预测主攻方向的可行性。