复杂系统脆性理论及其在危机分析中的应用
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摘要
随着社会经济、科学技术的发展,人们为了追求舒适的生活,导致各个与国计民生相关的复杂系统的规模越来越大。一旦复杂系统中的一个子系统在内外干扰下发生崩溃而不能正常的工作,整个复杂系统便会可能失去了它应有的功能,而出现整体坍塌。
     本论文以复杂系统作为研究对象,首次提出脆性是复杂系统的一个基本特性,即复杂系统除了具有开放性、复杂性、巨量性、进化与涌现性、层次性之外,还具有脆性。而且指出脆性作为复杂系统的一个基本特性是客观存在的。在给出脆性的定义、特点和模型的基础之上,建立了复杂系统脆性的相关概念、理论。并将此理论用于分析和处理非典型性肺炎给复杂系统带来的影响和危机。
     首先,针对复杂系统脆性的定义和特点进行研究。从材料力学领域关于脆性的定义出发,将其引申到复杂系统特性的研究中。复杂系统脆性重点强调崩溃的连锁效应,即由于复杂系统中的某一子系统的崩溃,引发的连锁的崩溃效应,会使整个复杂系统崩溃。以脆性定义为基础,分析了复杂系统脆性的基本特点。脆性具有以下的特点:隐藏性、伴随性、作用结果的表现形式的多样性、作用结果危害的严重性、子系统之间的非合作博弈关系是复杂系统脆性的一个根源、连锁性、延时性、整合性。
     其次,为了形象化说明复杂系统脆性的概念,提出了多米诺骨牌模型、金字塔与倒金字塔模型、元胞自动机模型等几种基本模型。同时,为了分析各个子系统间的脆性联系,以脆性联系函数为基础建立了脆性同一度、对立度、波动度、脆性变化率和子系统的脆性相关序列等一系列的相关的概念,定性地分析了各个子系统之间的脆性联系。
     再次,建立了复杂系统脆性研究的理论基础。根据集对分析的理论和方法,在复杂系统的一个脆性基元内,建立了脆性联系熵的概念。即当一个脆性基元内的子系统崩溃后,其它子系统功能与状态,受崩溃的子系统所影响的程度,体现在脆性同一熵、对立熵、波动熵三个方面。在崩溃的子系统的影响下,未崩溃的子系统为了自己的生存,需要从外界环境获得负熵流,来降低而由于脆性联系熵导致它们的熵增,且它们之间的关系属于非合作博弈。若外界环境的负熵流无法满足时,它们的脆性熵将达到使它们发生崩溃的临
    
    哈尔滨工程大学博士学位论文
    界值。利用元胞自动机模拟整个复杂系统的脆性,将每一个子系统作为一个
    元胞,建立以Von.Neumann型为基础的复杂系统的元胞自动机脆性仿真规
    则。以突变级数法为基础,在一个脆性基元内,利用尖点突变级数法和燕尾
    突变级数法进行脆性评价。当一个子系统在干扰下崩溃后,根据尚未崩溃的
    子系统与崩溃的子系统之间的同一度、对立度、波动度来评价它们之间的脆
    性关系。
     最后,将复杂系统脆性理论应用于非典型性肺炎危机的脆性研究。根据
    国家卫生部2003年4月下旬到5月上旬期间发布的非典型性肺炎疫情通报,
    以北京、内蒙古为例,从复杂系统脆性的角度来分析非典型性肺炎危机,提
    出相应的危机处理策略。
With the development of social economy and science and technology, the scale of various complex systems related to the national economy and the people's livelihood becomes larger and larger because people want to pursue more comfortable life. Consequently, after one subsystem of complex system cannot be in good operation under the interferences from inside and outside, it is possible for the whole complex system to lose its functions and to be collapsed.
    In this paper, complex system is chosen as the research object, which is characterized not only by openness, complexity, giant, evolution and emergence, hierarchy but also by brittleness. Brittleness is presented as one of the basic characteristics of complex system for the first time. Moreover, it is existent objectively as the basic characteristic of complex system. Based on the definition, peculiarities, and models of brittleness, concepts and theories about brittleness of complex system have been established, which is applied for analyzing the effect and crisis brought by the severe acute respiratory syndrome.
    Firstly, research has been carried out on the definition and peculiarities of brittleness. Brittleness comes from the term in the field of material science, which is defined and applied to the research on the characteristics of the complex system. Brittleness emphasizes on the collapsed chain effect that is triggered by the collapse of one subsystem and will result in the breakdown of whole complex system. On the basis of its definition, peculiarities of brittleness have been analyzed. They are recessive, concomitance, diverse representations of results, catastrophic and serious results, non-cooperative game between subsystems being one source of brittleness, chain effect, delay effect, represented from the angle of whole system.
    Secondly, domino model, pyramid model, reverse pyramid model, and cellular automaton model have been presented in order to explain the concepts of brittleness clearly. Meanwhile, based on the brittle link function, a series of concepts are defined such as same degree, opposite degree, fluctuating degree, brittleness varying ratio, brittleness correlated series between subsystems, which analyzes the brittle link between the subsystems qualitatively.
    Thirdly, theoretical basis of complex system brittleness has been set up. The concept of brittle link entropy is established according to the theory of set pairing in a brittle basic element. That is to say after a subsystem is collapsed, the states and functions of other ones will be affected in three aspects including brittle
    
    
    sameness entropy, brittle opposite entropy, brittle fluctuation entropy. Certainly, influenced by the collapsed subsystem, the non-collapsed ones compete with each other for their own survival by the means of non-cooperative game. They have to gain negative entropy from the environment so that they can reduce the increase of entropy from the brittle link entropy of the collapsed subsystem. If they cannot be satisfied, their entropy will increase to the critical point that results in their collapse. In order to simulate the brittle behavior of complex system, theory of cellular automaton has been induced to describe the macro reflection of brittleness in one/complex system. Von. Neumann model is applied, which a subsystem is regarded as one cellular. The simulation rules have also been established. In a brittle basic element, brittle evaluations have been finished by employing cusp and swallow catastrophe progression methods, which brittle relation between the non-collapsed subsystems and the collapsed one ca
    n be evaluated according to the brittle same degree, brittle opposite degree and brittle fluctuating degree.
    Finally, on the basis of data from the Ministry of Health P.R.China from April to May, taking Beijing, and Nei Menggu as examples, brittleness research and analyses have been carried out on the S ARS based on the theory of brittleness. Then, effective methods are presented from the point of view of brittleness in order to deal with the crisis.
引文
[1] 贝塔朗菲.一般系统论——基础、发展、应用.秋同,袁嘉新译.北京:社会科学文献出版社.1987:25-32页
    [2] 维纳.控制论.郝季仁译.北京:科学出版社,1963:1-10页
    [3] 钱学森,宋健.工程控制论(修订版).北京:科学出版社,1980:2-8页
    [4] 尼科里斯,普里高津.探索复杂性.罗久里,陈奎宁译.成都:四川教育出版社,1986:1-23页
    [5] 哈肯.高等协同学.郭治安译.北京:科学出版社,1989:1-20页
    [6] Auyang, S.Y. Foundations of Complex-System Theories in Economics, Evolutionary Biology, and Statistical Physics. Cambridge University Press, New York, 1998:404P
    [7] 钱学森,于景元,戴汝为.一个科学的新领域——开放的复杂巨系统及其方法论.自然杂志.1990,13(3):3-10页
    [8] 苗东升.复杂性研究的现状与展望.系统辩证学学报.2001,9(4):3-9页
    [9] 颜泽贤,陈忠,胡皓编.复杂系统演化论.人民出版社,1993年12月:40-70页
    [10] 姜璐.复杂系统的层次结构.自然辩证法研究.1994,10(2):16-21页
    [11] 李夏,戴汝为.系统科学与复杂性.自动化学报.1998,24(2):200-207页
    [12] 昝廷全.复杂系统的一般数学框架.应用数学和力学.1993,14(4):367-374页
    [13] 赵光武.深入探索复杂性.系统辩证学学报.2001,9(4):1-2页
    [14] 张嗣赢.复杂系统与复杂性科学简介.青岛大学学报.2001,16(4):25-28页
    [15] 吴彤.科学哲学视野中的客观复杂性.系统辩证学学报.2001,9(4):44-47页
    [16] 陈禹.复杂适应系统(CAS)理论及其应用——由来、内容与启示.系
    
    统辩证学学报.2001,9(4):35-39页
    [17] 魏纪林,陈传德,彭攀,郭枫.我国新世纪发展的系统观.系统辩证学学报.2001,9(4):65-68页
    [18] 霍兰.隐秩序.周晓牧,韩恽译.上海:上海科技教育出版社,2000:154-157页
    [19] 霍兰.涌现.陈禹等译.上海:上海科学出版社,200l:4-9页
    [20] 戴汝为,操龙兵.一个开放的复杂巨系统.系统工程学报.2001,16(5):76-81页
    [21] 王迪兴.复杂适应系统的共性描述.系统辩证学学报.2001,9(4):40-43页
    [22] Holland, J.H. Hidden Order: How Adaptation Builds Complexity. Perseus Books, Reading, Massachusetts, 1995:185 P
    [23] Holland, J.H. Emergence: From Chaos to Order. HelixBooks, Reading, Massachusetts, 1998:258 P
    [24] Tero Ojanper(?),Ramjee Prased著.朱旭红,卢学军等译.宽带CDMA:第三代移动通信技术.北京:人民邮电出版社,2001:1-23页
    [25] Keel, L.H., Bhattacharyya, S. P. Robust, fragile, or optimal? IEEE Trans. On Auto. Control. 1997,42(87): 1098-1115P
    [26] Domenico Famularo, Peter Dorato. Robust non-fragile LQ controllers: the ststic state feedback case. International journal of control. 2000,73(2): 159-165P
    [27] Celmins, Aivars. Vulnerability assessment of fuzzy targets. Fuzzy Sets and Systems. 1994,68(1):29-38P
    [28] Ang, A.H.S. Pires, J.A. A model for the seismic reliability assessment of electric power transmission systems. Reliability Engineering & system safety.1996,51(1):7-22P
    [29] Einarsson, Stefan. Comparision of QRA and Vulnerability analysis: does analysis lead to more robust and resilient systems? Acta Polytechnica Scandinavica, Civil Engineering and Building Construction Series.1999, (114): 1-27P
    
    
    [30] Rennaker, P. R.Richardson,S. New approach to vulnerability assessment. Journal of the American Helicoper Society. 1999,44(1):38-41P
    [31] Reese, Ronald M. Calvano, Charles N. Hopkins, Th. Operationally oriented vulnerability requirements in the ship design process. Naval Engineers Journal. 1998,110(1): 19-34P
    [32] Soutter, Marc Musy, andre. Global sensitivity analyses of three pesticide leaching models using a Monte-Carlo approach. Journal of Environmental Quality. 1999,28(4): 1290-1297P
    [33] Soutter, Marc Musy, Andre. Coupling 1D Monte-Carlo simulations and geostatistics to assess groundwater vulnerability to pesticide contamination on a regional scale. Journel of Contaminant Hydrology. 1998,32(1-2):25-29P
    [34] 王经民,王有科.黄土高原生态环境脆弱性计算方法探讨.水土保持通报.1996(32):36-43页
    [35] Monton, V.Ward. Risk assessment methodology for network integrity. BT Technology Journal. 1997,15(10):223-234P
    [36] Willianmsen, Joel Blacklock, Kevin Evans, Hilary. Quantifying and reducing International Space Station vulnerability following orbital debris penetration. Journal of Spacecraft and Rockets. 1999,36(1): 133-141P
    [37] Said, Michael O. Theory and practice of total ship survivability for ship design Naval Engineers Journal. 1995,107(4): 191-203P
    [38] Technology overview for a proposed navy surface combatant DC zonal electric distribution system Ciezki, J.G., Ashton, R.W. Conference Naval Engineers Journal. 1999,111(3):59-69P
    [39] Operationally oriented vulnerability requirements in the ship design process Reese, Ronald M., Calvano, Charles N., Hopkins, Th Naval Engineers Journal. 1998,110(1): 19-34P
    [40] Vassalos, D., Turan, O., Konovessis, D., Tuzcu, C. Comparison between prescriptive and performance-based criteria for assessing ro-ro damage survivability International Shipbuilding Progress. 1998,45(444):351-382P
    
    
    [41] Vassalos, Dracos, Turan, Osman, Pawlowski, Maciej. Dynamic stability assessment of damaged passenger/ro-ro ships and proposal of rational survival criteria Marine Technology. 1997,34(4):241-266P
    [42] Said, Michael O. Theory and practice of total ship survivability for ship design. Naval Engineers Journal. 1995,107(4): 191-203P
    [43] Holland J. H. Escaping Brittleness: The possibilities of General Purpose Learning Algorithms Applied to Parallel Rule-Based Systems.In: Michals Ki R S,Carbonell J G, Mitchell T M(Eds), Machine Learning Ⅱ, Los Altos,CA: Morgan Kaufmarm. 1986: 593-623P
    [44] Lind, Niels C. Measure of vulnerability and damage tolerance. Reliability Engineering & System Safety. 1995,48(1): 1-6P
    [45] E. Akiyamaa, K.Kanekob. Dynamical systems game theory and dynamics of games, physica D, 2000(147):221-258P
    [46] 韩建勋,饶欣.复杂系统建模——高维特征空间变量法.自动化学报.1991,17(2):160-165页
    [47] 肖人彬.复杂系统结构建模的新方法.自然科学进展.2001,11(1):25-32页
    [48] 王正中.复杂系统仿真方法及应用.计算机仿真.2001年1月,18(1):3-6页
    [49] 陈耀军,孙兆民.用公式法进行复杂系统的特性描述设计.长春邮电学院学报.1996,14(4):1-4页
    [50] 萧蕴诗,汪镭.基于分形思想的复杂系统建模实例研究.控制与决策.2001,16(1):100-103页
    [51] P.W.爱特金著,李思一译.从有序到到混浊——介绍热力学第二定律.北京:科学技术出版社,1990年:1-20页
    [52] G.N.Sarids et al. Entropy Formulation of optimal and Adaptive Control. IEEE Trans.on AC. 1988,33(8):713—721P
    [53] 姜丹.信息论.中国科学技术大学出版杜.1987年:10—90页
    [54] 赵佩华.熵理论的几个基本问题研究评述.系统辩证学学报.2000,8(1):85-88页
    
    
    [55] A.G. Bashkirov, A.V. Vityazev. Information entropy and power-law distributions for chaotic systems. PhysicaA. 2000 (277):136-145P
    [56] Shannon C. E. A mathematical theory of communication. Bell System Technical Journal. 1948(27):379-429P, 623-656P
    [57] 张学文.物理场熵自发减小现象.自然杂志.1986,11(9):847-850页
    [58] 范恩源.共享负熵,寻求新的有序.天津教育学院学报(自然科学版).1991(3):10-14页
    [59] 邢修三.物理熵、信息熵及其演化方程.中国科学(A辑).2001,31(1):77-84页
    [60] 冯端,冯步云.熵.北京:科学出版社.1992年:10-50页
    [61] 任鲁川.灾害熵:概念引入及应用案例.自然灾害学报.2000,9(2):26-31页
    [62] 周秋蓉.对耗散结构理论的思考.重庆师范学院学报.1995,12(2):20-23页
    [63] 何建中.耗散结构与协同学简介.气象教育与科技.1993,(1):20-24页
    [64] Zbigniew Szwast, Stanislaw Sieniutycz, J.S.Shiner. Complexity principle of extremality in evolution of living organism by information-theoretic entropy. Chaos,Solitions and Fractals.2002,13:1871-1888P
    [65] M.X. He, P.E. Ricci.Information entropy of orthogonal polynomials. Applied Mathematics and Computation.2002,128: 261-274P
    [66] Giuseppe Ricciardia, Isaac Elishako. A novel local stochastic linearization method via two extremum entropy principles. International Journal of Non-Linear Mechanics. 2002,37: 785-800P
    [67] 林康镛.关于熵概念的扩充问题.青岛建筑工程学院学报.1992,13(1):73-77页
    [68] 王志军等.联系系数与系统的显著性检验.系统工程.1997,15(5):67-69页
    [69] 任叔良,赵克勤.集对分析在企业能源管理中的应用探讨.能源工程.1
    
    996年,(3):21-23页
    [70] 朱其秀.关于联系数的同异反态势熵及应用.绍兴文理学院学报.2000,20(6):87-89页
    [71] 赵克勤.联系数及其应用.吉林师院学报.1996,(8):50-53页
    [72] 赵克勤.集对分析(SPA)中联系数与不确定量.大自然探索.1997(2):91页
    [73] 赵克勤.集对分析与熵的研究.浙江大学学报(杜科).1992(2):65-72页
    [74] 黄德才,赵克勤.用联系数描述和处理网络计划中的不确定性.系统工程学报.1999,14(2):112-117页
    [75] 王霞,彭晓华.集对分析中差异度系数i的取值方法及应用.天津轻工业学院学报.2002,4:56-58页
    [76] 赵克勤,宣爱理.集对论——一种新的不确定性理论、方法、应用.系统工程,1996,(1):18—23页
    [77] 程启月,邱菀华.射击准备策略的决策分析.系统工程理论与实践.2001,(1):134-137页
    [78] 田雁波,郑巍.SPA在模糊可拓经济控制论中的应用.吉林师范学院学报,1996,(8):16-18页
    [79] Jae C. Oh. Promoting cooperation using 'kin' biased conditional strategy in the iterated prisoner's dilemma game. Information Science. 2001,133:149-164P
    [80] Paul A. Samuelson. Some game theory anecdotes. Japan and the World Economy.2001,13:299-302P
    [81] Eizo Akiyamaa, Kunihiko Kaneko. Dynamical systems game theory Ⅱ. A new approach to the problem of the social dilemma. Physica D. 2002, 2891:1-36P
    [82] 叶民强,林峰.区域人口、资源与环境公平性问题的博弈分析.上海财经大学学报.2001,3(5):10-15页
    [83] John Nash,贝兴亚译.非合作博弈.系统工程.1996,14(2):21-26页
    [84] Wolfram S,Norman H Packard. Two Dimensional Cellular Automata[J].
    
    Journal of Statistical Physics. 1985,3 8:901-946P
    [85] 闫广武.元胞自动机中的组织生长.吉林大学学报(理学版).2002,40(3):247-249页
    [86] Langton C. Studying Artificial Life with Cellular Automata. Physica D. 1986,22:120-149P
    [87] Wolfram S. Universality and Complexity in Cellular Automata. Physica D,1984(10): 1-35P
    [88] 朱照宣.点格自动机.力学与实践.1987,(2):1-6页
    [89] 张永安等.复杂系统研究的重要工具.自然杂志.1998,(4):192-195页
    [90] Jacob Goldenberg, Sol Efroni.Using cellular automata modeling of the emergence of innovations. Technological Forecasting & Social Change. 2001,(68):293-308P
    [91] Michele D'amicoa, Giovanni Manzinib, Luciano Margarac. On computing the entropy of cellular automata. Theoretical Computer Science. 2003(290): 1629-1646P
    [92] F. Blanchard, P. Kurka, A. Maass. Topological and measure-theoretic properties of one-dimensional cellular automata. Physica D, 1997(103): 86-99P
    [93] 李才伟,胡瑞安,杨叔子.自组织过程的随机元胞自动机模拟.华中理工大学学报.1996,24(9):64-67页
    [94] 袁坚,任勇,山秀明.一种计算机网络的元胞自动机模型及分析.物理学报.2000,49(3):398-402页
    [95] 凌复华.突变理论及其应用.上海交通大学出版社,1987年12月:52-59页
    [96] 桑博得著.突变理论入门.凌复华译.上海科学技术文献出版社,1983年7月:4-9页
    [97] 凌复华,魏焕明.初等突变理论在Hamiton系统中应用的一个例子.力学学报.1985,17(1):34-40页
    [98] Anthony N. Kounadis. Dynamic buckling of simple two-bar frames using catastrophe theory. International Jounal of Non-Linear Mechanics.
    
    2002(37): 1249-1259P
    [99] Marco Carricato, Joseph Du.y, Vincenzo Parenti-Castelli. Catastrophe analysis of a planar system with flexural pivots. Mechanism and Machine. 2002(37):693-716P
    [100] 张亚平,张起森.尖点突变理论在交通流预测中的应用.系统工程学报.2000,15(3):272-276页
    [101] 钱新明,陈宝智.危险评价的尖点突变模型的研究.中国安全科学学报.1996,6(1):24-29页
    [102] 赵松伞,于允贤编著.突变理论及其在生物医学中的应用.北京:科学出版社.1987年:10-50页
    [103] 朱顺泉,徐国祥.上市公司财务状况的突变级数评价模型及其实证研究.统计与信息论坛.2003,18(3):11-14页
    [104] 都兴富.突变理沦在经济领域的应用.电子科技大学出版社.1994年:22-44页
    [105] 黄奕龙.突变级数法在水资源持续利用评价中的应用.干旱环境监测.2001,15(3):67-70页
    [106] 潘岳.铝电解—阳极效应过程的蝴蝶突变模型.金属学报.1990,26(5):10-15页
    [107] 朱顺泉.基于突变级数法的上市公司绩效综合评价研究.系统工程理论与实践.2002,2:90-95页
    [108] Robert Heath. Dealing with the complete crisis-the crisis management shell structure. Safety Science. 1998 (30): 139-150P
    [109] L. DOYEN, P. SAINT-PIERRE. Scale of Viability and Minimal Time of Crisis. Set-Valued Analysis. 1997(5): 227-246P
    [110] 刘卿.国际危机机理分析.国际关系学院学报.2002,2:10-15页
    [111] 刘博敏.城市发展中的潜在危机.规划师论坛.2002,1:17-20页
    [112] 中华人民共和国卫生部.非典型肺炎疫情发布.http://www.moh.gov.cn/zhgl/yqfb/index.htm. 2003年5月16日

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