基于大型模糊认知图的复杂系统建模与推理研究

计算机科学 ›› 2013, Vol. 40 ›› Issue (6): 203-205.

基于大型模糊认知图的复杂系统建模与推理研究

彭珍,田立勤,吴静,高晓燕,杨炳儒

青海师范大学计算机学院青海810008;青海师范大学计算机学院青海810008;青海师范大学计算机学院青海810008;华北科技学院计算机学院北京101601;北京科技大学计算机与通信工程学院北京100083

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受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(JSJ2013B07,8),国家自然科学基金(61175048)资助

Research on Complex System Modeling and Reasoning Based on Large Fuzzy Cognitive Map

PENG Zhen,TIAN Li-qin,WU Jing,GAO Xiao-yan and YANG Bing-ru

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

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。

关键词: 复杂系统,模糊认知图,集成挖掘,三江源生态系统

Abstract: As an intelligent computational tool,Fuzzy Cognitive Map has the advantage of intuitive knowledge representation 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 reasoning,but also expand its application area.

Key words: Complex system,Fuzzy cognitive map,Integrated mining,Three rivers ecosystem

彭珍,田立勤,吴静,高晓燕,杨炳儒. 基于大型模糊认知图的复杂系统建模与推理研究[J]. 计算机科学, 2013, 40(6): 203-205. https://doi.org/

PENG Zhen,TIAN Li-qin,WU Jing,GAO Xiao-yan and YANG Bing-ru. Research on Complex System Modeling and Reasoning Based on Large Fuzzy Cognitive Map[J]. Computer Science, 2013, 40(6): 203-205. https://doi.org/

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