网络决策分析的积因子方法

提出一种改进的网络决策分析方法,这个方法利用有向图及有向图相关的矩阵、将层次分析方法的积因子方法(方案合成排序应用乘积而不是相加)推广到一般的网络决策分析问题.文章对照传统的方法阐述了网络决策分析积因子法的步骤及特点.     

基于DEMATEL和ANP的电子商务代运营服务企业核心竞争力影响因素研究

随着“互联网+”与传统行业的不断融合,越来越多自身电子商务运营能力不足的中小企业选择电子商务服务外包的方式进入电子商务行业,电子商务代运营服务企业面临机遇的同时也面临激烈的竞争与挑战。为提高电子商务代运营服务企业的竞争力,提升其核心能力建设,从企业综合实力、代运营技术、代运营服务项目、代运营服务质量、人力资源、企业信誉、发展潜力7个方面构建了电子商务代运营服务商竞争能力评价指标体系。针对评价指标众多,主观、客观因素繁杂的状况,建立了DEMATEL与ANP相结合的多属性综合决策方法,首先,使用DEMATEL分析评价指标间的影响关系,绘制影响因素四分图;其次,构建了电子商务代运营服务商竞争能力重要性及关联性ANP网络,引入ANP方法计算各指标的全局权重,并与调整后的综合矩阵混合计算;最后,通过分析混合权重,识别出管理体系、财务状况、历史业绩、服务理念、战略规划为电子商务代运营企业核心竞争力影响的关键因素,进而制定培育企业核心竞争能力的对策。     

网络层次分析法在桥梁工程招标中的应用

简述了公路桥梁建设中的招标程序，比较了最低标价法和综合评价法的优缺点，介绍了一种新的评标方法——网络层次分析法ANP(analytic network process)。在综合考虑各种因素的同时，考虑到因素间的相互影响，对各因素以1～9为标度进行量化，两两比较，最后进行综合排序。利用超级决策SD(super decisions)软件计算了一个实例。计算结果表明，ANP是一种科学的实用评标方法。     

基于ANP法窑居聚落改造方案可持续性分析

目的为衡量居住区项目改造方案的可持续性,对改造方案进行定量与定性相结合的科学评价。方法运用ANP网络分析法结合可持续发展的理论对陕西省特有的下沉式窑居聚落项目进行评估分析,以选择最优的改造方案。结果保护性项目改造方案对于窑居聚落的发展具有更积极的意义。结论 ANP网络分析法可以克服其他评价方法所难于克服的一致性问题,使得决策结果更符合实际。     

用网络层次分析法（ANP）评估应急桥梁设计方案

主要介绍了应用网络层次分析法(ANP)评估应急桥梁设计方案的基本步骤.ANP在综合考虑各种因素的同时,考虑到因素间的相互影响,对各因素间的依赖的反馈关系进行了描述和计算,最后进行综合排序.利用超级决策SD(Super Decisions)软件很方便的计算了一个实例,计算结果表明,应用ANP评估应急桥梁设计方案是合理的.     

教学全面、全员、全程动态管理的理论、方法与模型

对教学管理目前的发展趋势和存在的问题进行了分析 ,提出了全面、全员、全程动态的积累水平、波动水平、阶段实际水平和进步指数的概念 ,给出了可操作性的教学质量全面、全员和全程动态管理的评价方法和模型 .该方法与模型已应用到我们所开发的“通宝育杰学校全面质量管理支持系统”中.     

基于ANP的师范生信息素养评价模型研究

在现有的信息素养评价指标体系中,假设各评价指标之间是不存在影响和依赖关系的,但这样的假设在实际中是不存在的.因此,考虑到各评价指标之间的相互影响,本文利用网络分析方法(ANP)建立了师范生信息素养评价指标体系的网络分析模型,并确定了各指标的相对权重,以期为师范生信息素养教育的侧重点提供参考.     

基于区间直觉模糊数ANP的体系贡献率计算方法

体系贡献率主要用于体系建设中度量装备对体系的贡献程度。为解决目前体系贡献率计算存在的一些问题,提出一种“任务-能力-指标-装备”的多层次装备指标体系结构。考虑了装备指标体系结构、网络分析法和区间直觉模糊数的特点,提出了一种基于区间直觉模糊数的网络分析法以得到更准确的体系贡献率。实验表明,该方法不仅能够解决体系贡献率计算公式现存的问题,而且与AHP(analytic hierarchy process)和ANP(analytic network process)相比,可以得到更准确的体系贡献率,为体系建设提供更有效的支持。     

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.