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基于大型模糊认知图的复杂系统建模与推理研究 被引量:6

Research on Complex System Modeling and Reasoning Based on Large Fuzzy Cognitive Map
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摘要 模糊认知图作为一种智能计算工具,具有直观的知识表达、快速的数值推理能力等优点,适用于系统建模与推理。为了实现复杂系统关联认知与聚类的集成挖掘,进而达到对它的有效分析与决策,在面向复杂系统的大型模糊认知图研究基础之上,提出了用于三江源生态决策的大型模糊认知图关联认知、状态建模与推理的思路与方法,它不仅可以提升大型模糊认知图在复杂系统建模与推理方面的理论研究,也将拓展其应用领域。 As an intelligent computational tool, Fuzzy Cognitive Map has the advantage of intuitive knowledge represen- tation and fast numerical reasoning ability, etc. , and is applied for system modeling and reasoning. In order to achieve the integrated mining of associated cognitive and clustering, and to achieve effective analysis and decision-making for complex system, large Fuzzy Cognitive Map of complex system was researched,and the ideas and methods of modeling and reasoning of large Fuzzy Cognitive Map association cognitive and state were proposed for Three Rivers ecological decision, which will not only enhance the large Fuzzy Cognitive Map research on complex systems modeling and reason- ing, but also expand its application area.
出处 《计算机科学》 CSCD 北大核心 2013年第6期203-205,210,共4页 Computer Science
基金 973计划项目(2011CB311809) 省自然科学基金(2012-Z-932Q,2012-Z-935Q,2012-N-525) 中央高校基本科研业务费专项(JSJ2013B07,3142013098) 国家自然科学基金(61175048)资助
关键词 复杂系统 模糊认知图 集成挖掘 三江源生态系统 Complex system,Fuzzy cognitive map, Integrated mining,Three rivers ecosystem
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参考文献16

  • 1Aguilar J.A Survey about Fuzzy Cognitive Maps Papers (Invited Paper)[J].International Journal of Computational Cognition,2005,3(2):27-33.
  • 2Papageorgiou Elpiniki I,Wojciech F.Application of Evolutionary Fuzzy Cognitive Maps for Prediction of Pulmonary Infections[J].IEEE Transactions on Information Technology in Biomedicine,2012,16(1):143-149.
  • 3Michael G.Fuzzy Cognitive Strategic Maps in Business Process Performance Measurement[J].Expert Systems with Applications,2013,40(1):1-14.
  • 4Kontogianni Areti D,Papageorgiou Elpiniki I,Christos T.How do you perceive environmental change? Fuzzy Cognitive Mapping informing stakeholder analysis for environmental policy making and non-market valuation[J].Applied Soft Computing,2012,12(12):3725-3735.
  • 5Kumar M V,Laurens B,Papageorgiou Elpiniki I,et al.Fuzzy cognitive maps and cellular automata:An evolutionary approach for social systems modeling[J].Applied Soft Computing,2012,12(12):3771-3784.
  • 6Peng Zhen,Yang Bing-ru,Wu Li-feng.The Construction of Fuzzy Cognitive Map Classification Model based on Relational Database[J].International Journal of Digital Content Technology and its Applications,2011,5(5):33-41.
  • 7张桂芸,马希荣,杨炳儒.复杂系统模糊认知图的分解研究[J].计算机科学,2007,34(4):129-132. 被引量:7
  • 8Peng Zhen,Wu Li-feng.Two-level Fuzzy Cognitive Map Mining for Text Categorization[J].International Journal of Digital Content Technology and its Applications,2012,6(2):296-302.
  • 9Lin Chun-mei.Combination study of multi fuzzy cognitive map[A]//Knowledge-Based Intelligent Information and Engineering Systems,2008[C].Zagreb,2008:332-339.
  • 10Wojciech S,Lukasz K,Witold P.A Divide and Conquer Method for Learning Large Fuzzy Cognitive Maps[J].Fuzzy Sets and Systems,2010,161:2515-2532.

二级参考文献11

  • 1Liu B,Proceedings of the KDD-98,1998年,80页
  • 2Hu Keyun,Proceedings of the PAKDD- 99,1999年,109页
  • 3Zaki M J,Proceedings of the SIGMOD’98 Workshop on Research Issues in Data Mining and Kno,1998年,7卷,1页
  • 4Axelrod R.Structure of Decision:the Cognitive Maps of Political Elites.Princeton,NJ:Princeton University Press,1976
  • 5Kosko B.Fuzzy cognitive maps.Int.J.Man-machine Studies,1986,24:65~75
  • 6Kosko B.Adaptive inference in fuzzy knowledge networks.In:Proc.1st Int.Conf.Neural Networks,1987,2:261~268
  • 7Liu Z Q,Miao Y.Fuzzy cognitive map and its causal inference.In:Proc.IEEE Int.Conf.Fuzzy Systems Seoul Korea,1999,3:1540~1545
  • 8Aguilar J.Learning Algorithm and Retrieval Process for the Multiple Classes Random Neural Network Model.Neural Processing Letters,Kluwer Academic Publishers,2001,13(1):81~91
  • 9Zhang Jianying,Liu Zhi-qiang,Zhou Sanming,Quotient FCMs-A Decomposition Theory for Fuzzy Cognitive Maps.IEEE transactions on fuzzy systems,2003,11(5):593~604
  • 10Liu Z Q,Zhang J Y.Interrogating the structure of fuzzy cognitive maps.Soft Comput.,2003,7(3):148~153

共引文献69

同被引文献52

  • 1朱明,余彧,庄悦,戴玥,郭旭雷,陆小锋.基于DSP的广告智能推送系统[J].数据采集与处理,2012,27(S2):267-271. 被引量:1
  • 2任昊利,罗飞,金晓光.模糊认知图在武器装备体系评估中的应用研究[J].系统仿真学报,2009,21(S2):68-71. 被引量:3
  • 3鲍爱华.生态矿山建设的几点思考[J].矿业研究与开发,2005,25(3):1-4. 被引量:13
  • 4张力,王以群,邓志良.复杂人——机系统中的人因失误[J].中国安全科学学报,1996,6(6):35-38. 被引量:78
  • 5张桂芸,马希荣,杨炳儒.复杂系统模糊认知图的分解研究[J].计算机科学,2007,34(4):129-132. 被引量:7
  • 6王兴明,陈裕颈,王芙蓉,等.IT运维操作风险评估方法初探[C]//银行和第三方支付行业信息安全等级保护技术大会论文集.北京:北京市公安局与中国人民银行营业管理部,2013:72-75.
  • 7Singh A,Picot A,Kranz J.Information Security Management(ISM)Practices:Lessons from Select Cases from India and Germany[J].Global Journal of Flexible Systems Management,2013,14(4):225-239.
  • 8Calkins M.Risk Management:Capturing the Right Situation with Prudent Case Use in Scenario-based Modeling[J].Developing a Virtue-Imbued Casuistry for Business Ethics,2014,42:225-241.
  • 9Lazzerini B,Mkrtchyan L.Analyzing Risk Impact Factors Using Extended Fuzzy Cognitive Maps[J].IEEE Systems Journal,2011,5(2):288-297.
  • 10Papageorgiou E I.Learning Algorithms for Fuzzy Cognitive Maps——A Review Study[J].IEEE Transactions on Systems,2011,42(2):1-14.

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