Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (11): 16-18.DOI: 10.3778/j.issn.1002-8331.2009.11.005

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Fuzzy pattern recognition of China orientation in Arctic route issue coordinating based on clouds theory

LI Zhen-fu   

  1. College of Transportation Management,Dalian Maritime University,Dalian,Liaoning 116026,China
  • Received:2008-11-27 Revised:2009-01-12 Online:2009-04-11 Published:2009-04-11
  • Contact: LI Zhen-fu

中国北极航线问题协调地位的云模型模糊识别

李振福   

  1. 大连海事大学 交通运输管理学院,辽宁 大连 116026
  • 通讯作者: 李振福

Abstract: With regard to complicated and abnormal issues in the Arctic route,this paper brings forward the fuzzy pattern recognition that is one of the most useful methods in quantitative analysis of company market competition orientation.But its uniqueness of deciding grade of membership makes this method lose its fuzzy meaning.In this paper,cloud model is built and applied to rectify the shortage of the above by using the normal cloud instead of membership function,make the recognition results of China orientation in the arctic route issue coordinating more reasonable and actual,and try to explore the application of cloud theory in the field of international issue research.

Key words: arctic route issue, coordinate, cloud theory, fuzzy pattern recognition

摘要: 北极航线问题属于很难获得定量信息,真正需要咨询专家解决的问题。针对在处理北极航线问题中遇到的复杂和异常的现象,运用正态隶属云代替传统模糊识别方法中精确的隶属函数,构建了相关正态云模型,对云理论在国际问题研究领域中的应用做了初步探讨。并对中国北极航线问题协调地位进行识别,克服了由于隶属度确定的唯一性所导致的最终失去模糊性的理论缺陷,从而使获得的判识结论更加合理且贴近实际。

关键词: 北极航线问题, 协调, 云理论, 模糊模式识别