不确定信息静态博弈

传统的博弈理论中假定局中人具有共同知识．由于现实中各局中人获取信息的途径不同，信息具有不确定性，局中人具有共同知识这一假定往往不能满足．因此，需要讨论不确定信息博弈问题．基于认识效用决策理论，讨论了不确定信息静态博弈问题．假定各局中人仅知道其它局中人类型的分布，并利用拟Bayea理论建立了不确定信息静态博弈模型，引进了稳健的概念．     

字典序多目标多阶段决策问题的嘉量解法

建立了字典序多目标多阶段决策模型，并用嘉量原理解决字典序多目标多阶段决策问题．在字典序多目标多阶段决策的赋嘉量有向图中，从任意出发点到终点的嘉量等于出发点经过中间状态的诸顶点到终点的嘉量摹和,这个摹和与出发点之前、终点之后的状态无关．在计算过程中，将合取作为摹和，常义加法作为摹乘，则字典序多目标多阶段决策问题的递推运算转换为多阶段的摹矩阵运算．     

数据融合综述

新兴的数据融合科学内容丰富且应用广泛,正确理解融合算法与层次分类,能帮助我们避免数据富有但信息贫乏的情况发生.     

高速铁路基本走向决策方法和模型

分析了高速铁路基本走向方案比选特点，应用较为成熟的AHP主观赋权法作为指标权重分配计算方法，运用多目标决策分析原理，综合多种系统评价方法提出了一种高速铁路基本走向决策方法，并建立了优选模型，决策者可以根据具体情况灵活地进行方案的评价与排序，使方案决策具有针对性。实践证明该决策方法和模型能利用全部信息，排序结果能够比较客观地符合高速铁路基本走向选择的实际情况。     

A robust decision feedback equalizer for ATSC DTV receivers

Least mean square （LMS） decision feedback equalizer （DFE） is preferred as an effective solution to coping with inter-symbol interference （ISI） for ATSC digital television （DTV） receivers. In DTV transmission environment, echo delay often covers several hundreds symbols, which leads to very large-scale equalizer. One consequence of the large-scale equalizer is the very slow convergence, which combined with error propagation, inherent drawback of DFE, seriously deteriorates the performance of the receivers, especially in severe channels. More working modes and corresponding robust control mechanism were given to help the equalizer converge to the stable state smoothly. Simulation results show that the improved equalizer can perform better, especially in the severe channels.     

基于列车用户优先级的频谱共享博弈算法

不同业务优先级高速铁路用户的爆炸式业务需求与稀缺频谱资源的矛盾日益突出。针对运行于不同地形环境、在相同eNB覆盖范围内的高速铁路次用户的频谱共享博弈问题进行研究。基于次用户承载业务的不同优先级,提出模糊综合评判-优先级调度算法,将次用户间的频谱竞争建模为非合作博弈,通过次服务的频谱效用函数、主系统的频谱交易价格函数实现次用户间的差异化动态频谱共享。仿真结果表明,算法较好地反映了真实的频谱共享情形,可以更加准确地对次用户频谱需求进行业务优先级划分,提高频谱利用率的同时保证了其最大效用。     

高速铁路ZPW-2000A轨道电路故障分析及监测优化

针对客专ZPW-2000A轨道电路故障处理时,仅靠监测手段不能准确区分室内外故障,需要人工测量,处理时间普遍较长的问题,通过分析信号集中监测系统及轨道电路原理,提出在既有监测系统基础上,增设接收电缆模拟网络监测点的优化措施;同时对轨道电路故障进行模拟试验,分析发生故障时各监测点的数据,总结不同种类故障发生时的规律;最后以2个实际案例验证了优化措施的效果。     

中外反恐立法的比较分析与完善

当前,恐怖活动犯罪的社会危害性日益凸显,威胁着全球范围内的和平稳定秩序。我国一直在国际法层面和国内法层面对反恐立法进行探索,尤其是2011年《关于加强反恐怖工作的决定》的出台,意味着我国已经确定了以此决定为核心的独立式立法模式,我国反恐立法水平达到了新的高度。与国外相比,我国在立法内容、罪名设置、相关程序法等方面仍存在诸多不足。本文将通过对国外反恐立法内容比较总结,在本土化资源话语体系下,对外国立法经验进行选择性借鉴。     

Effects of Friends' Information Interaction on Travel Decisions

Many existing studies focus on the effects of traffic information from ATIS on travel choices. Research on the effect of friends' travel information on people's travel choice is uncommon, yet needed. In this paper, behavioral experiments are conducted to discuss what the effects of information interaction with friends can bring on individual travel decision behavior. The experimental results concluded that when the rate of friends' information interaction reaches 33.3%, the whole system is at an optimal level. Furthermore, users reach an optimum when the rate of friends' travel information interaction is 75%. The average time and cost per person is increasing when the whole system optimum transfers to the user optimum. Moreover, adjustments of departure time at the system optimum are more dispersed than at the user optimum, while travel choice changes are more concentrated.     

Training Needs of Coastal Resources Decision Makers in Ohio's Lake Erie Basin

This article describes results from a study focused on informational and knowledge needs of local coastal resources decision makers in the Ohio Lake Erie basin. New information was obtained through a series of focus groups of local decision makers and key training providers in the basin. The results suggest that training providers and local coastal resources decision makers have differing perceptions of knowledge and information needs and training venues. The results suggest a role for state and federal agency training providers as coordinators and facilitators of an enhanced learning network among decision makers, including support of an information clearinghouse, adoption of appropriate e-based learning modalities, and regionally based learning and practice networks to improve the function of the training market to meet local decision maker needs.