混合不确定多态系统可靠性的EUGF分析方法

在进行多状态系统可靠性分析时,很多情况下系统中同时存在着多个类型不确定信息,如一些复杂系统中,由于样本量的差异,一些信息可以作为随机信息,而另一些信息由于缺少足够的样本,只能以区间形式给出。提出一种基于证据通用生成函数理论的多状态系统可靠性分析方法,来处理多类不确定性信息的多态系统。该方法基于证据不确定性量化理论,能够充分利用区间信息和认知信息,避免了系统中信息的浪费。基于证据量化理论建立证据通用生成函数模型,采用信度和似然度对多态系统进行可靠性评价,提高了基于认知不确定性的可靠性分析结果的可信性。对于同时含有随机信息和认知信息的多态系统,该方法首先通过将随机信息离散处理,然后建立统一的证据通用生成理论模型进行多态可靠性分析。通过案例分析对所提出的方法进行了验证。     

不确定条件下用于多方案比选的变权-SIR方法

针对评价信息存在模糊性、不确定性及不完备性的多方案比选问题,考虑短板指标对各方案综合评价值的影响,引入置信度的概念和变权原理,提出一种新的不确定条件下的变权-优劣势排序(dynamic-weight superiority and inferiority ranking under uncertainty, DWUSIR)方法。利用带置信度结构的语言评价值表达评价信息的不完备性或专家评价的不确定性和模糊性;基于变权原理,通过状态变权函数构造变权模型,兼顾决策者的主观偏好与目标状态值的影响。最后,通过算例分析验证了新提出的方法的有效性和合理性。     

Rough function model and rough membership function

Two pairs of approximation operators, which are the scale lower and upper approximations as well as the real line lower and upper approximations, are defined. Their properties and antithesis characteristics are analyzed. The rough function model is generalized based on rough set theory, and the scheme of rough function theory is made more distinct and complete. Therefore, the transformation of the real function analysis from real line to scale is achieved. A series of basic concepts in rough function model including rough numbers, rough intervals, and rough membership functions are defined in the new scheme of the rough function model. Operating properties of rough intervals similar to rough sets are obtained. The relationship of rough inclusion and rough equality of rough intervals is defined by two kinds of tools, known as the lower （upper） approximation operator in real numbers domain and rough membership functions. Their relative properties are analyzed and proved strictly, which provides necessary theoretical foundation and technical support for the further discussion of properties and practical application of the rough function model.     

METRICS,PROBABILISTIC METRICS AND RANDOM METRICS

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一种消费者品牌偏好的模糊排序方法

为将消费者对品牌属性的模糊评判信息转化为消费者的品牌偏好信息,首先将模糊语义转化为三角模糊数,然后利用模糊数的广义加法、近似乘法及标量乘法计算,从而将消费者对属性的离散意见转化为对某一品牌的综合意见.然后通过定义一种模糊数综合排序指标来确定消费者的品牌偏好顺序.最后还通过一个算例来说明方法的实用性和有效性.     

基于连续信任函数理论的鲁棒雷达目标检测方法

目标检测是雷达的基本功能, 其鲁棒性直接决定了雷达应用的成败。针对瑞利目标检测问题, 充分利用连续信任函数理论在不确定性信息表征和推理方面的优势, 提出一种鲁棒雷达目标检测方法, 在决策空间中可对先验模型噪声、真实目标和外来干扰的信任进行精准量化。鉴于该检测方法不存在解析解的问题, 通过随机变量的变换, 将任意瑞利目标幅度起伏模型转化为标准瑞利模型, 再利用查表方式实现信任函数的数值计算, 最后完成检测决策或用于后续融合推理。瑞利目标检测实验验证了所提方法的鲁棒性。     

Generic Regular Decompositions for Parametric Polynomial Systems

This paper presents a generalization of the authors' earlier work. In this paper, the two concepts, generic regular decomposition(GRD) and regular-decomposition-unstable(RDU) variety introduced in the authors' previous work for generic zero-dimensional systems, are extended to the case where the parametric systems are not necessarily zero-dimensional. An algorithm is provided to compute GRDs and the associated RDU varieties of parametric systems simultaneously on the basis of the algorithm for generic zero-dimensional systems proposed in the authors' previous work. Then the solutions of any parametric system can be represented by the solutions of finitely many regular systems and the decomposition is stable at any parameter value in the complement of the associated RDU variety of the parameter space. The related definitions and the results presented in the authors' previous work are also generalized and a further discussion on RDU varieties is given from an experimental point of view. The new algorithm has been implemented on the basis of DISCOVERER with Maple 16 and experimented with a number of benchmarks from the literature.     

作战系统仿真中的雷达建模与仿真研究

以舰艇防空作战中雷达单元的仿真为背景，按照搜索雷达和精跟踪雷达的功能及工作流程，将作战系统中的雷达仿真分成目标探测、捕获、非精确跟踪及精确跟踪等步骤，对各个步骤中需完成的工作进行了较为完整的介绍，并给出了相关流程图。     

基于距离加权最小二乘的量测数据关联

量测数据关联是被动多传感器系统中需要首先解决的一个关键问题,通常可采用多维分配算法进行求解,其中代价函数的选取在一定程度上决定了算法的最终分配结果。基于广义似然比构造的代价函数由于采用精度较低的传统最小二乘法进行定位,且没有考虑融合方差的影响,导致其性能较差。针对这一问题,提出一种基于距离加权最小二乘的量测数据关联算法,该算法将距离信息引入最小二乘定位算法中,并在代价函数的计算中融入目标位置的估计方差,构建出能够更为准确反映量测与目标之间相关程度的代价函数。仿真实验表明,所提算法在计算代价较小的前提下,提高了关联正确率,具有较好的工程应用价值。     

基于乐观值和悲观值的不确定机会约束规划模型及应用

为了克服随机规划、模糊规划以及不确定规划期望值模型在实际应用中的局限性,基于乐观值和悲观值,提出了新的不确定机会约束规划模型。首先,根据目标函数的分类,分别定义了收益函数和成本函数的乐观值与悲观值,并在此基础上建立了不确定机会约束规划Maximax、Maximin、Minimin和Minimax模型;其次,给出了不确定机会约束规划模型的等价转化方法,将无法直接求解的不确定模型转化为可直接求解的等价确定模型,并分析了乐观值和悲观值随信度水平变化的规律;最后,以西安市某快递营业网点出行时间计划问题为例,对本文提出的模型、方法以及信度水平的影响进行了分析,指出信度水平实际上反映了决策者的风险偏好程度,实例结果表明本文提出的模型及方法具有可行性、有效性和实用性。     

态势估计中的统计时间区间推理方法

在战场态势估计中 ,许多事件有一个持续过程 ,因此需要引入时间区间来表示这些事件发生的时间。态势估计中常常需要判断这些事件发生的时间顺序 ,而对事件发生的时间区间的推测或观测往往含有统计不确定性。利用似然比检验理论 ,建立了一种判别两个事件发生的不确定时间区间的顺序的新方法 ,并讨论了利用检验结果进行限制传播的方法 ,从而有效地增强了态势估计中对时间关系的描述和推理能力     

Performance study on Gossip-based group key distribution protocal

1 .INTRODUCTIONIP multicast[1]communication is an efficient means ofdistributing datato a group of participants .Incontrastto unicast communication, multicast routing permits asingle IP datagramto be routedto multiple hosts si m-ultaneously. Membership in a multicast group is dy-namic ,so hosts canjoinandleavethe multicast sessionwithout the permissions or knowledge of other hosts .The inherent benefits of multicast routing may alsopresent some vulnerabilities making it susceptible toatt…     

DIAGNOSTICS FOR NONLINEAR REGRESSION MODEL WITH WEIGHTING OR TRANSFORMATION

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故障拓展模型到概率检验模型的转换规则

以故障拓展模型和概率检验模型为基础,通过分析概率检验模型的语法语义、转移命令及逻辑关系,研究清晰、完整的转换规则,实现故障拓展模型向概率检验模型的转换。此外,研究模型的定量概率检验转换规则,构建逻辑验证表达。最后,对机载通信系统调谐控制功能展开基于概率检验的定量安全性评估。结果表明,通过将故障拓展模型转换为概率检验模型的转换规则,能够实现复杂系统定量安全性自动分析,从而有效支持航空器复杂系统安全性评估过程。     

Mean-Square Stabilization of Networked Sampled-Data Systems with Packet Losses: Critical Sampling Intervals

This paper studies the stabilizing problem of networked sampled-data linear systems with independent and identically distribution (i.i.d.) packet dropouts. First of all, for the sampled-data system without packet losses, the necessary and sufficient conditions for the critical sampling intervals are given to ensure the mean square stability where zero order holder and generalized holder are adopted, respectively. Secondly, for the sampled-data system with i.i.d. packet losses, necessary and sufficient conditions for the critical sampling intervals are given to ensure the mean square stability where the zero order holder control is adopted. The random sampling framework is used to examine the case that the value of the control signal is not zero when the packet loss occurs, but the value of the previous control signal when the data packet is not lost. For the sampled-data system with i.i.d. packet losses, the range of the sampling interval is given to ensure the mean square stability where the generalized holder control is adopted. Some numerical simulations are provided to validate the theoretical results.

     

一种改进的半定量仿真算法

由于基于区间的半定量仿真算法都是针对参数区间的边界值进行的，所以导致仿真精度不高，状态轨迹过宽等现象。为了克服这一缺陷，提出一种改进的半定量仿真算法。首先简述了半定量仿真算法，然后以数字区间仿真为研究对象提出了一种随机半定量仿真算法。该算法用参教的概率密度函数代替区间进行半定量仿真．首先利用参数区间以及先验知识确定概率密度函数．根据概率密度函数在一定的置信水平下产生一组随机参数值，经过处理后确定其边界值作为新区间，然后将其用于相应的半定量仿真算法。理论分析和仿真实例表明，改进的半定量仿真算法的仿真精度高于传统半定量仿真算法。     

PARAMETER ESTIMATION OF EXPONENTIAL DISTRIBUTION

Because of the importance of grouped data, many scholars have been devoted to the study of this kind of data. But, few documents have been concerned with the thresh-old parameter. In this paper, we assume that the threshold parameter is smaller than the first observing point. Then, on the basis of the two-parameter exponential distribution, the maximum likelihood estimations of both parameters are given, the sufficient and necessary conditions for their existence and uniqueness are argued, and the asymptotic properties of the estimations are also presented, according to which approximate confidence intervals of the parameters are derived. At the same time, the estimation of the parameters is generalized, and some methods are introduced to get explicit expressions of these generalized estimations. Also, a special case where the first failure time of the units is observed is considered.     

基于概率语言熵和交叉熵的多准则决策方法

概率语言术语集既包含语言术语,又包含语言信息的概率,使初始决策信息能够得到充分的利用,有利于提高语言术语集多准则决策的科学性.鉴于此,本文针对概率语言多准则决策问题,提出了一种基于概率语言熵和概率语言交叉熵赋权的多准则决策方法.首先考虑各准则下概率语言术语集的个体效应及其相互作用,利用概率语言熵和概率语言交叉熵计算准则的权重,然后采用将有向图和0-1优先关系矩阵相结合的概率语言术语集备选方案排序方法,更加直观地得到备选方案的排序结果并得到各方案之间的优劣程度.最后,以企业战略规划问题为例进行分析,通过对比分析验证了所提方法的有效性和优越性.     

经济负荷分配问题的闭环文化粒子群算法

结合文化算法的双层进化结构和粒子群算法的局部搜索性能,提出了求解经济负荷分配问题的闭环文化粒子群算法。算法设置了上层的信念空间和下层的群体空间,并利用同步传输方式通过接受操作和影响操作来完成两层空间的交互;各群体空间采用反馈控制的原理对粒子的演化速度进行控制以保持群体的多样性。通过对文献中的3机组6母线和IEEE30BUS经济负荷分配问题的仿真结果表明,闭环文化粒子群算法有更好的收敛性能和更快的收敛速度。     

A proximal point algorithm for a system of generalized mixed variational inequalities

This paper introduces and considers a new system of generalized mixed variational inequalities in a Hilbert space,which includes many new and known systems of variational inequalities and generalized variational inequalities as special cases.By using the two concepts of 77-subdifferential andη-proximal mappings of a proper function,the authors try to demonstrate that the system of generalized mixed variational inequalities is equivalence with a fixed point problem.By applying the equivalence, a new and innovativeη-proximal point algorithm for finding approximate solutions of the system of generalized mixed variational inequalities will be suggested and analyzed.The authors also study the convergence analysis of the new iterative method under much weaker conditions.The results can be viewed as a refinement and improvement of the previously known results for variational inequalities.