进程交互仿真的图形表示方法

本文利用进程的四种状态及其相互转换的图示,提出一种简单、直观,清晰、系统的图形,用来表示离散系统中的进程生命周期及交互影响,可作为建立离散系统仿真模型的一种有用工具。     

供应链风险管理研究进展的综述与分析

随着供应链中断事件的频繁发生及其严重后果，供应链风险管理目前成为供应链研究的一个重要方向，文章评迷了供应链在风险识别、风险评估和风险管理过程的国内外研究成果，指出应加强对供应链网络风险的识别研究，定量化的风险评估研究，动态环境下具有反馈机制的风险管理过程研究等，最后给出了未来的研究展望。     

Fundamentals of the analytic network process — Dependence and feedback in decision-making with a single network

The Analytic Network Process (ANP) is a multicriteria theory of measurement used to derive relative priority scales of absolute numbers from individual judgments (or from actual measurements normalized to a relative form) that also belong to a fundamental scale of absolute numbers. These judgments represent the relative influence, of one of two elements over the other in a pairwise comparison process on a third element in the system, with respect to an underlying control criterion. Through its supermatrix, whose entries are themselves matrices of column priorities, the ANP synthesizes the outcome of dependence and feedback within and between clusters of elements. The Analytic Hierarchy Process (AHP) with its independence assumptions on upper levels from lower levels and the independence of the elements in a level is a special case of the ANP. The ANP is an essential tool for articulating our understanding of a decision problem. One had to overcome the limitation of linear hierarchic structures and their mathematical consequences. This part on the ANP summarizes and illustrates the basic concepts of the ANP and shows how informed intuitive judgments can lead to real life answers that are matched by actual measurements in the real world (for example, relative dollar values) as illustrated in market share examples that rely on judgments and not on numerical data. Thomas L. Saaty holds the Chair of University Professor, Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA, and obtained his Ph.D. in mathematics from Yale University. Before that he was a professor at the Wharton School of the University of Pennsylvania for ten years. Prior to that he spent seven years at the Arms Control and Disarmament Agency in the State Department in Washington, DC, that carried out the arms reduction negotiations with the Soviets in Geneva. His current research interests include decision-making, planning, conflict resolution and synthesis in the brain. As a result of his search for an effective means to deal with weapons tradeoffs at the Disarmament Agency and, more generally, with decision-making and resource allocation, Professor Saaty developed The Analytic Hierarchy Process (AHP) and its generalization to dependence and feedback, the Analytic Network Process (ANP). He is co-developer of the software Expert Choice and of the software Super Decisions for decisions with dependence and feedback. He has authored or co-authored twelve books on the AHP/ANP. Professor Saaty has also written a number of other books that embrace a variety of topics, including Modern Nonlinear Equations, Nonlinear Mathematics, Graph Theory, The Four Color Problem, Behavioral Mathematics, Queuing Theory, Optimization in Integers, Embracing the Future and The Brain: Unraveling the Mystery of How It Works. His most recent book is Creative Thinking, Problem Solving & Decision Making. The book is a rich collection of ideas, incorporating research by a growing body of researchers and practitioners, profiles of creative people, projects and products, theory, philosophy, physics and metaphysics...all explained with a liberal dose of humor. He has published more than 300 refereed articles in a wide variety of professional journals. He has been on the editorial boards of Mathematical Reviews, Operations Research, Naval Research Logistics Quarterly, Mathematical and Computer Modeling, Socio-Economic Planning Sciences, Applied Mathematics Letters, and several others. He also served as consultant to many corporations and governments.     

英语阅读理解教学中关联理论的运用

本文简析语用学中的关联理论,结合对阅读理解认知过程分析,分析了了关联理论对英语阅读理解的指导意义。     

DECISION MAKING - THE ANALYTIC HIERARCHY AND NETWORK PROCESSES (AHP/ANP)

This is the first part of an introduction to multicriteria decision making using the Analytic Hierarchy Process (AHP) and its generalization, the Analytic Network Process (ANP). The discussion involves individual and group decisions both with the independence of the criteria from the alternatives as in the AHP and also with dependence and feedback in the entire decision structure as in the ANP. This part explains the Analytic Hierarchy Process, with examples, and presents in some detail the mathematical foundations. An exposition of the Analytic Network Process and its applications will appear in later issues of this journal.     

《系统工程》中“层次分析法”教学探讨

《系统工程》是信息管理与信息系统专业的核心课程,其中“层次分析法”因其较强的实用性,已逐渐成为一种重要的系统评价方法,本文从理论教学和实践教学两个环节分别对“层次分析法”的教学方法进行了探讨。     

毛竹碱性亚硫酸钠-蒽醌制浆的研究

<正>试验结果表明:亚硫酸钠对总碱(均以氧化钠计)最佳比率为0.85,总碱量为18％(以氧化钠计),蒽醌用量0.05％,液比为1:4,在最高温度(170℃)制浆时间需要3.5h,粗浆得率42～45％(比传统的硫酸盐法纸浆得率高4～6％)和卡伯值17～25,碱性亚硫酸钠-蒽醌制得竹浆的物理强度性质相当于硫酸盐竹浆的强度。     

资源分配图在并发程序设计中的应用

本文在操作系统并发程序设计中引入了资源分配图,利用它可以直观地描述并发程序互斥与同步,为并发程序的描述提供了一种图形工具。     

基于改进AHP-PSO的三模盾构掘进模式地质适应性研究

为提出一种可靠的复合盾构各掘进模式地质适应性分析方法,根据地质条件、地质风险、设计参数和工程需求评估影响盾构掘进的关键参数,并基于层次分析法(analytic hierarchy process,AHP)算法建立三模盾构的土压、泥水、隧道掘进机(tunnel boring machine,TBM)3种掘进模式的地质适应性评价模型。同时,通过混合逻辑结构改进AHP算法,并结合粒子群优化(particle swarm optimization,PSO)算法提高了其一致性检验和权重求解的能力。最后,以广州地铁7号线二期工程萝岗-水西区间三模式盾构施工工程为例进行三模式盾构地质适应性分析及掘进模式选取,得到的掘进模式选取方案在实际工程应用中取得了较好的掘进质量和掘进效率。该工程证实研究成果能对相关工程施工提供可靠的掘进模式选取方法。     

不完全判断矩阵权值的粒子群优化算法计算

不完全判断矩阵权值求解是一个重要问题.在分析不完全判断矩阵权值求解的各种方法基础上,提出以使判断矩阵的最大特征值达到最小为目标,建立求解权值准则.给出利用粒子群优化算法解决此问题,实例表明该方法比较有效.