期刊文献+

基于大型模糊认知图的复杂系统建模与推理研究 被引量:8

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

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