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| 1 | FUNDAMENTALS OF THE ANALYTIC NETWORK PROCESS- DEPENDENCE AND FEEDBACK IN DECISION-MAKING WITH A SINGLE NETWORK显示文摘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 rqatrices 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 | 2004 | Systems Science and Systems Engineering2004，13，2： | 93 |
| 2 | DECISION MAKING - THE ANALYTIC HIERARCHY AND NETWORK PROCESSES (AHP/ANP)显示文摘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. | Thomas L.SAATY | 2004 | Systems Science and Systems Engineering2004，13，1： | 246 |
| 3 | AN ANALYTIC HIERARCHY PROCESS MODEL OF GROUP CONSENSUS显示文摘In group decision making,a certain degree of consensus is necessary to derive a meaningful and valid outcome.This paper proposes a consensus reaching model for a group by using the Analytic Hierarchy Process(AHP).It supports people to improve their group consensus level through an updating of their judgments.In this model,a moderator suggests the most discordant decision maker to update his judgment in each step.The proposed consensus reaching model allows decision makers to accept or reject the suggestion from the moderator.This model ensures that the judgment updating is effective and the final solution will be of acceptable consistency.Finally,a numerical example is given to illustrate the validity of the proposed consensus reaching model. | Qingxing DONG Thomas L.SAATY | 2014 | Journal of Systems Science and Systems Engineering2014，23，3： | 17 |
| 4 | FUNDAMENTALS OF THE ANALYTIC NETWORK PROCESS - MULTIPLE NETWORKS WITH BENEFITS,COSTS,OPPORTUNITIES AND RISKS显示文摘The general theory of the ANP enables one to deal with the benefits, opportunities, costs, and risks (the BOCR merits) of a decision, by introducing the notion of negative priorities for C and R along with the rating (not comparison) of the top priority alternative synthesized for each of the four merits in terms of strategic criteria to enable one to combine the four B, O, C, and R values of each alternative into a single outcome. Strategic criteria are very basic criteria individuals and groups use to assess whether they should make any of the many decisions they face in their daily operations. They do not depend on any particular decision for their priorities but are assessed in terms of the goals and values of the individual or organization. Synthesis is made with two formulas, one multiplicative and one additive subtractive that can give rise to negative overall priorities. This paper summarizes and illustrates basic complex decisions involving several control criteria under each of the BOCR merits. | Thomas L.SAATY | 2004 | Systems Science and Systems Engineering2004，13，3： | 14 |
| 5 | WHO WON THE 2008 OLYMPICS?A MULTICRITERIA DECISION OF MEASURING INTANGIBLES显示文摘在奥运会的结束,由超过一个国家赢得的奖章作为在中国与许多金的赢得了 100 枚奖章的 2008 场比赛在全部的数字是许多和结束,美国赢得 110 枚奖章,这经常发生但是与金牌的一个更小的数字。问题是:尽管它经常任意地被做,有确定的一个方法黄金,银和铜奖章的价值正当地担心解决这?这短解释证明有由为 intangibles 的测量使用作者的理论的,分析层次过程。 | Thomas L.SAATY | 2008 | Journal of Systems Science and Systems Engineering2008，17，4： | 5 |
| 6 | GLOBAL AWARENESS,FUTURE CITY DESIGN AND DECISION MAKING显示文摘我们的世界以指数的率一直在变化。由于这快速的生长,我们将被强迫以我们自己在环境而且在环境过例如设计在有增加的人口和成长复杂性的更大的和谐的未来的城市的方法做变化不仅。纸为选择最理想的城市在全球了解和全面标准和他们的优先级上包含两思考。 | Thomas L.SAATY Mujgan SAGIR | 2012 | Journal of Systems Science and Systems Engineering2012，21，3： | 3 |
| 7 | Making decisions in hierarchic and network systems显示文摘 | Thomas L.Saaty Mariya Sodenknmp | | 0，，01： | 1 |
| 8 | Predicting the Outcome of a Tennis Tournament:Based on Both Data and Judgments显示文摘This paper is about predicting the outcome of tennis matches of the Association of Tennis Professionals(ATP)and the Women's Tennis Association(WTA)using both data and judgments.There are many factors that influence that outcome.An important question is which factors have significant influence on the outcome.We have identified numerous factors and systematically prioritized them subjectively and objectively,so as to improve the accuracy of the prediction.We then used them to predict the win-lose outcome of the 2015 US OPEN tennis matches(63 men and 31 women's games)before they took place.The tennis match prediction in sports literature thus far reported an accuracy rate of 70%.The accuracy of our proposed model which combines data and judgment reaches 85.1%. | Wei Gu Thomas L.Saaty | 2019 | Journal of Systems Science and Systems Engineering2019，28，3： | 1 |
| 9 | What is the Analytic Hierarchy Process显示文摘 | Thomas L.Saaty | | 0，，： | 1 |
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