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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 | ASYMPTOTIC SOLUTION OF ACTIVATOR INHIBITOR SYSTEMS FOR NONLINEAR REACTION DIFFUSION EQUATIONS显示文摘为使活跃之物禁止者系统的非线性的反应散开方程被考虑的 A。第一,第二,在合适的条件下面,原来的问题的外部解决方案用多重规模的变量被获得;力量系列的膨胀理论答案的正式 asymptotic 扩大被构造,;最后,使用微分不平等的理论一致有效性;答案的 asymptotic 行为被学习。 | Jiaqi MO Wantao LIN | 2008 | Journal of Systems Science & Complexity2008，21，1： | 96 |
| 3 | THE DEMAND DISRUPTION MANAGEMENT PROBLEM FOR A SUPPLY CHAIN SYSTEM WITH NONLINEAR DEMAND FUNCTIONS显示文摘This paper addresses the problem of handling the uncertainty of demand in aone-supplier-one-retailer supply chain system. Demand variation often makes the real productiondifferent from what is originally planned, causing a deviation cost from the production plan. Assumethe market demand is sensitive to the retail price in a nonlinear form, we show how to effectivelyhandle the demand uncertainty in a supply chain, both for the case of centralized-decision-makingsystem and the case of decentralized-decision-making system with perfect coordination. | MinghuiXU XiangtongQI GangYU HanqinZHANG ChengxiuGAO | 2003 | Systems Science and Systems Engineering2003，12，1： | 92 |
| 4 | 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 |
| 5 | CRUDE OIL PRICE FORECASTING WITH TEI@I METHODOLOGY显示文摘The difficulty in crude oil price forecasting, due to inherent complexity, has attracted much attention of academic researchers and business practitioners. Various methods have been tried to solve the problem of forecasting crude oil prices. However, all of the existing models of prediction can not meet practical needs. Very recently, Wang and Yu proposed a new methodology for handling complex systems-TEI@I methodology by means of a systematic integration of text mining, econometrics and intelligent techniques.Within the framework of TEI@I methodology, econometrical models are used to model the linear components of crude oil price time series (i.e., main trends) while nonlinear components of crude oil price time series (i.e., error terms) are modelled by using artificial neural network (ANN) models. In addition, the impact of irregular and infrequent future events on crude oil price is explored using web-based text mining (WTM) and rule-based expert systems (RES) techniques. Thus, a fully novel nonlinear integrated forecasting approach with error correction and judgmental adjustment is formulated to improve prediction performance within the framework of the TEI@I methodology. The proposed methodology and the novel forecasting approach are illustrated via an example. | WANGShouyang YULean K.K.LAI | 2005 | Journal of Systems Science & Complexity2005，18，2： | 73 |
| 6 | A CLASS OF SINGULARLY PERTURBEDBOUNDARY VALUE PROBLEMS FOR NONLINEARDIFFERENTIAL SYSTEMS显示文摘The singularly perturbed nonlinear problem εy' = f(x, y’)y + g(x, y’), 0 | MO Jiaqi (Department of Mathematics, Anhui Normal University, Wuhu 241000, China) | 1999 | Systems Science and Mathematical Sciences1999，12，1： | 51 |
| 7 | MAKING AND VALIDATING COMPLEX DECISIONS WITH THE AHP/ANP显示文摘Several examples that serve to validate the AHP/ANP with matrices hierarchies and networks are given in this paper. They are then followed by a discussion of the real numbers and how they are generated without the need for an absolute zero, and how they define an absolute scale of measurement that also does not need an absolute zero. In the AHP/ANP the measurement of an alternative depends on what other alternatives it is compared with. The result is that rank can change if alternatives are added or deleted, something that does not occur in one-at-a-time rating of the alternatives by comparing them with an ideal. An example is provided to show that this is natural and need not involve new criteria or change in judgments. A brief discussion of Utility Theory, the other multi-criteria theory, which uses interval scales to measure intangibles and some of its problems and paradoxes, is given. The references at the end include most of the papers that are adverse to the AHP with brief comments about several of them given in the paper. | Thomas L. SAATY | 2005 | Journal of Systems Science and Systems Engineering2005，14，1： | 41 |
| 8 | STUDYING COMPLEX ADAPTIVE SYSTEMS显示文摘复杂适应系统(cas )- 包含当他们交往,适应或学习的许多部件的系统 - 在重要当代的问题的心。学习 ofcas 提出唯一的挑战:一些我们的很强大的数学工具,特别地,包含的方法修理了点,引起注意的人,等等,具有在理解 cas 的发展的有限帮助。这篇论文建议方法修改研究方法和工具,与基于计算机的模型的角色上的一个重音,到增加我们 cas 的理解。 | John H.Holland | 2006 | Journal of Systems Science & Complexity2006，19，1： | 37 |
| 9 | GENERALIZED VARIATION ITERATION SOLUTION OF AN ATMOSPHERE-OCEAN OSCILLATOR MODEL FOR GLOBAL CLIMATE显示文摘在为全球气候的空气海洋的 interhemispheric thermohaline 发行量(THC ) 的一个盒子模型被考虑。由使用概括变化重复方法,一个简化非线性的模型的近似答案被学习。概括变化重复方法是一个分析方法,并且获得的分析答案能顺序被操作。作者也为相应物理数量多样化质、量的行为。 | Jiaqi MO Wantao LIN | 2011 | Journal of Systems Science & Complexity2011，24，2： | 39 |
| 10 | A Practical Approach to Modifying Pairwise Comparison Matrices and Two Criteria of Modificatory Effectiveness | MA Weiye Bureau of Science & Technology Policy, Academia Sinica, Beijing 100080, PRCXU Jiangyue, WEI Yixiang Beijing University of Aeronautics & Astronautics, Beijing 10080, PRC | 1993 | Systems Science and Systems Engineering1993，3，4： | 35 |
| 11 | Chinese Economic Structure and SDA Model | CHEN Xi\|kang 1,\ GUO Ju\|e 2 1. Academy of Machemation and Systems Science, Chinese Academy of Science Beijing 100080, China 2. Shaanxi Institute of Finance and Economics, Xi′an 710061, China | 2000 | Systems Science and Systems Engineering2000，10，2： | 40 |
| 12 | THE SUPERCONVERGENCE ANALYSIS OF AN ANISOTROPIC FINITE ELEMENT显示文摘这篇论文在各向异性的矩形的网孔的班上处理双线性的有限元素的高精确性分析。各向异性的网孔上的反的不平等被建立。超级结束和超级集中被获得因为第二订椭圆形的问题。数字测试被给,它与我们的理论分析与一致。 | SHI Dongyang ZHU Huiqing | 2005 | Journal of Systems Science & Complexity2005，18，4： | 32 |
| 13 | LIVESTOCK PRODUCTION PLANNING UNDER ENVIRONMENTAL RISKS AND UNCERTAINTIES显示文摘In this paper we demonstrate the need for risk-adjusted approaches to planning expansion of livestock production. In particular, we illustrate that under exposure to risk, a portfolio of producers is needed where more efficient producers co-exist and cooperate with less efficient ones given that the latter are associated with lower, uncorrelated or even negatively correlated contingencies. This raises important issues of cooperation and risk sharing among diverse producers. For large-scale practical allocation problems when information on the contingencies may be disperse, not analytically tractable, or be available on aggregate levels, we propose a downscaling procedure based on behavioral principles utilizing spatial risk preference structure. It allows for estimation of production allocation at required resolutions accounting for location specific risks and suitability constraints. The approach provides a tool for harmonization of data from various spatial levels. We applied the method in a case study of livestock production allocation in China to 2030. | Günther FISCHER Tatiana ERMOLIEVA Yuri ERMOLIEV Harrij van VELTHUIZEN | 2006 | Journal of Systems Science and Systems Engineering2006，15，4： | 31 |
| 14 | SOME NEW CONSTRUCTIONS OF CARTESIAN AUTHENTICATION CODES FROM SYMPLECTIC GEOMETRY显示文摘SOMENEWCONSTRUCTIONSOFCARTESIANAUTHENTICATIONCODESFROMSYMPLECTICGEOMETRYYOUHong;GAOYou(NortheastNormalUniversity,Changchun130... | YOU Hong GAO You(Northeast Normal University, Changchun 130024) | 1994 | Systems Science and Mathematical Sciences1994，7，4： | 31 |
| 15 | BIG DATA:UNLEASHING INFORMATION显示文摘At present,it is projected that about 4 zettabytes(or 10**21 bytes)of digital data are being generated per year by everything from underground physics experiments to retail transactions to security cameras to global positioning systems.In the U.S.,major research programs are being funded to deal with big data in all five sectors(i.e.,services,manufacturing,construction,agriculture and mining)of the economy.Big Data is a term applied to data sets whose size is beyond the ability of available tools to undertake their acquisition,access,analytics and/or application in a reasonable amount of time.Whereas Tien(2003)forewarned about the data rich,information poor(DRIP)problems that have been pervasive since the advent of large-scale data collections or warehouses,the DRIP conundrum has been somewhat mitigated by the Big Data approach which has unleashed information in a manner that can support informed-yet,not necessarily defensible or valid-decisions or choices.Thus,by somewhat overcoming data quality issues with data quantity,data access restrictions with on-demand cloud computing,causative analysis with correlative data analytics,and model-driven with evidence-driven applications,appropriate actions can be undertaken with the obtained information.New acquisition,access,analytics and application technologies are being developed to further Big Data as it is being employed to help resolve the 14 grand challenges(identified by the National Academy of Engineering in 2008),underpin the 10 breakthrough technologies(compiled by the Massachusetts Institute of Technology in 2013)and support the Third Industrial Revolution of mass customization. | James M.TIEN | 2013 | Journal of Systems Science and Systems Engineering2013，22，2： | 34 |
| 16 | CONFLICT ANALYSIS APPROACHES FOR INVESTIGATING ATTITUDES AND MISPERCEPTIONS IN THE WAR OF 1812显示文摘设计途径到为错误感觉和态度建模的正式系统在图模型的框架以内被采用让冲突分辨率系统地学习在美国和大 Britainin 顺序之间的 1812 的战争提供提高的卓见进战争的原因。更明确地,为偏爱,运动和稳定性概念的关系定义为描述态度被定义并且联系了涉及冲突的决定制造者的行为。到在 1812 的战争的决定制造者的俘获错误感觉,态度在一场亢奋的比赛的结构以内被学习。在图模型的范例以内的 Combiningattitudes 和错误感觉供应证明由英国和美国的态度的那误解可能贡献了这不干净的战争的爆发的灵活分析工具。 | Takehiro INOHARA Keith W. HIPEL Sean WALKER | 2007 | Journal of Systems Science and Systems Engineering2007，16，2： | 29 |
| 17 | A NONMONOTONE CONJUGATE GRADIENT ALGORITHM FOR UNCONSTRAINED OPTIMIZATION显示文摘Abstract. Conjugate gradient methods are very important methods for unconstrainedoptimization, especially for large scale problems. In this paper, we propose a new conjugategradient method, in which the technique of nonmonotone line search is used. Under mildassumptions, we prove the global convergence of the method. Some numerical results arealso presented. | | 2002 | Journal of Systems Science & Complexity2002，15，2： | 27 |
| 18 | DESIGN METHODOLOGY OF NETWORKED SOFTWARE EVOLUTION GROWTH BASED ON SOFTWARE PATTERNS显示文摘最近,建筑群的新特征联网的一些在不同领域里吸引科学家的注意,并且导致许多种新兴的研究方向。到目前为止,大多数研究工作被结构分析在大规模软件系统在复杂网络特征的发现限制了。这篇论文论述理论基础,设计方法,算法和研究的实验结果。它第一为网络拓扑学强调进化生长的设计方法的意义面向对象(OO ) 软件系统,并且主张有各种各样的拓扑学特征的网络模型的选择和调整将在设计的进程和 OO 软件系统的实现上带不可忽略的效果。然后,我们与不同拓扑学特征和软件建模方法的发展分析“在网络模型的进化之间的否定和妥协的否定”的类似的纪律。根据软件模式的生长特征的分析,我们连续建议一个面向对象的软件网络进化生长方法和它的算法。另外,我们也基于复杂网络理论为 OO 软件系统度量标准建议参数系统。基于这些参数系统,它能分析各种各样的节点的特征,连接并且本地世界,调制网络拓扑学并且指导软件度量标准。所有这些能对详细设计,实现和表演分析有用。最后,我们集中于进化算法的应用程序并且由案例研究表明它。在实验软件工程从我们的早实验把结果与方法论作比较,我们相信建议软件工程设计方法基于复杂网络理论是一条计算软件工程途径。我们主张这个方法应该是极大地为在大规模 OO 的功能,结构和性能的设计,实现,调整和度量标准有益软件建筑群系统。 | Keqing HE Rong PENG Jing LIU Fei HE Peng LIANG Bing LI | 2006 | Journal of Systems Science & Complexity2006，19，2： | 24 |
| 19 | SOFT CONTROL ON COLLECTIVE BEHAVIOR OF A GROUP OF AUTONOMOUS AGENTS BY A SHILL AGENT显示文摘这篇论文问一个新问题:我们怎么能控制集体行为组织 ofself 的多代理人系统?我们试着由建议新观点 called'Soft Control' 回答这个问题,它把存在代理人的本地规则放在系统。我们由案例研究显示出软控制的可行性。考虑简单却典型的分布式的 multi-agentmodel 由 Vicsek 等求婚了。为鸟结队:每个代理人以一样的速度,但是与基于它的自己的标题的一般水准用一条本地规则被更新的不同标题和它的邻居的标题移动。这个模型的大多数研究关于 self-organizedcollective 行为,例如标题的同步。我们想要由软控制在这个组的集体行为(标题) 干涉。一个指定方法是增加一个特殊代理人,叫了一个“党羽”,它能被我们控制,但是被另外的代理人当作一个平常的代理人。我们为党羽构造一条控制法律以便它能同步整个组到一个客观标题。这条控制法律被证明是有效经分解并且数字地。注意软控制与分布式的控制的途径不同。在分布式的系统干涉是一个自然方法。它可以在复杂系统的控制上拿出许多有趣的问题和挑战。 | Jing HAN Ming LI Lei GUO | 2006 | Journal of Systems Science & Complexity2006，19，1： | 23 |
| 20 | THERE IS NO MATHEMATICAL VALIDITY FOR USING FUZZY NUMBER CRUNCHING IN THE ANALYTIC HIERARCHY PROCESS显示文摘Fuzzy logic has difficulty producing valid answers in decision-making. Absent are theorems to prove that it works to produce results already known that are being estimated with judgments by transforming such judgments numerically. The numerical representation of judgments in the AHP is already fuzzy. Making fuzzy judgments more fuzzy does not lead to a better more valid outcome and it often leads to a worse one. The compatibility index of the AHP is used to illustrate how the answers obtained by fuzzifying AHP judgments do not produce better results than direct derivation of the principal eigenvector. Other authors who did experiments with given data in decision making quoted in the conclusions section of the paper, have observed that fuzzy sets gives the poorest answers among all methods used to derive best decisions. | Thomas L. SAATY | 2006 | Journal of Systems Science and Systems Engineering2006，15，4： | 23 |
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