AN ANP/DNP ANALYSIS OF ECONOMIC ELEMENTS IN TODAY＇S WORLD NETWORK ECONOMY

The network economy is a term for today’s global relationship among economic elements characterized by massive connectivity. The central act of the new era is to connect everything to everything in deep web networks at many levels of mutually interdependent relations, where resources and activities are shared, markets are enlarged and costs and risk are reduced. Network systems contain both positive and negative feedback. A variety of feedback processes create complex system behavior. For such a network the Analytic Network Process (ANP) approach seems to be very appropriate. The ANP method makes it possible to deal systematically with all kinds of dependence and feedback in the system. Dynamic models try to reflect changes in real or simulated time and take into account that the network model components are constantly evolving. Dynamic models use concepts of state variables, flows, and feedback processes. The Dynamic Network Process (DNP) is an extension of ANP that can deal with time dependent priorities in a networked economy. Petr Fiala is a Professor and the Deputy Head of the Department of Econometrics, University of Economics in Prague, the Czech Republic. He is a graduate of the University of Economics in Prague, Charles University in Prague, and the Rochester Institute of Technology in Rochester, NY, USA. He holds a PhD from the University in Prague. His current research interests include modeling of production systems, supply chain management, project management, and multicriteria and group decision making. He has been on study and research tours to Germany, Russia, the USA, India and Cuba. He is a member of professional societies for Operations Research and Multiple Criteria Decision Making and is the Vice President of the Czech Society of Operations Research and the Czech Republic representative in EURO (The Association of European Operational Research Societies). He is the author of books, lecture notes and papers in quantitative models and methods in management and economics.     

人体生理活动的正反馈调节

对人体生理活动的调节有两大系统即神经系统与内分泌系统,两大系统的调节机理都存在反馈调节.在正常的生理活动中,为人们所熟知的是多数的负反馈调节活动,而正反馈调节活动则相对较少,人们也较生疏.这篇文章介绍几种常见的生理活动的正反馈调节.     

载流螺绕环轴线上磁场为零的条件

用毕奥-萨伐尔定律计算出非密绕螺绕环轴线上的磁场分布，然后给出了载流螺绕环轴线上磁感应强度为零的条件，并定性导出了螺绕环外部磁场为零的条件．     

无限长载流螺线管磁场分布特点的证明

由载流圆环的磁场和安培环路定理严格证明了无限长载流螺线管的磁场分布特点，即管内是均匀磁场、管外磁场为零；指出无限长载流螺线管的磁场是不能仅由安培环路定理求出的。     

安培环路定理的一种简单证明

从毕奥－萨代尔定律出发，利用斯托克斯公式和算符的运算法则，给出磁场安培环路定理的一种简单证明     

环路法综合快速准确跟踪及强抗扰动的控制系统

本文采用作者提出的数学模型作为闭环系统的最佳目标传递函数,应用古典控制理论中的方块图和现代控制理论中的状态空间概念,环路法综合等效的状态反馈系统。这样的综合系统不用状态观测器,并在某条件受限制时实现了按参考输入及扰动作用各自的最佳零、极点配置,同时对参考输入有最快、最稳的跟踪响应及最高的静态难确度;对扰动作用具有最小的动态响应及最高的无静差度。不仅解决了目前综合系统存在着的抗扰与跟踪性能难于兼顾的矛盾,而且也解决了目前难于解决的静态准确度与相对稳定性不能兼容的矛盾。方法简便、实用,便于工程中推广使用。     

ADSL将成为宽带接入的主流

ADSL是一种新的宽带接入网技术.讨论了它的基本原理和实现方法,今后数年内它将是数字视频信息、传输技术的首选.     

以系统基模理论分析联想的发展战略

以系统基模理论来分析当前联想电脑公司的发展战略 ,并得出结论 ,即建立与供应商及经销商的战略联盟应是联想电脑公司的最佳战略选择     

股指期货对股票市场正反馈交易的影响——基于中国A股市场的计量检验

利用非对称GARCH模型和正反馈交易模型，对中国A股市场的正反馈交易进行了计量检验.结果表明:股指期货推出后，股票现货市场的正反馈交易减弱，但正反馈交易减弱的原因并不在于市场信息效率的提升，而是由于正反馈交易由股票现货市场转移至股指期货市场.股指期货对股票市场的正反馈交易主要起到的是分流而非抑制作用，这一结论不同于以往对股指期货作用的乐观评价.计量检验同时发现:投资者风险厌恶程度与正反馈交易强度负相关.正反馈交易具有显著的风险寻求偏好，因此，对股指期货的交易限制，虽然可以短期降低正反馈交易的风险联动，但无法改变正反馈交易的风险偏好.所以，相关的制度安排应重点关注市场效率的提升而非波动抑制.