计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (14): 50-52.DOI: 10.3778/j.issn.1002-8331.2010.14.015

• 研究、探讨 • 上一篇    下一篇

Vague集之间的一种加权相似度量

石玉强1,吴家培1,王鸿绪2,徐云生3   

  1. 1.仲恺农业工程学院 计算机科学与工程学院,广州 510225
    2.琼州学院 计算机科学与技术系,海南 五指山 572200
    3.琼州学院 化学系,海南 五指山 572200
  • 收稿日期:2008-11-17 修回日期:2009-01-22 出版日期:2010-05-11 发布日期:2010-05-11
  • 通讯作者: 石玉强

Weighting similarity measures between Vague sets

SHI Yu-qiang1,WU Jia-pei1,WANG Hong-xu2,XU Yun-sheng3   

  1. 1.College of Computer Science and Engineering,Zhongkai University of Agriculture and Engineering,Guangzhou 510225,China
    2.Department of Computer Science and Technology,Qiongzhou University,Wuzhishan,Hainan 572200,China
    3.Department of Chemistry,Qiongzhou University,Wuzhishan,Hainan 572200,China
  • Received:2008-11-17 Revised:2009-01-22 Online:2010-05-11 Published:2010-05-11
  • Contact: SHI Yu-qiang

摘要: 研究Vague值转化的性质,给出Vague集相似度量的一种公理化定义,提出基于Vague值转化的两类Vague集之间加权相似度量。应用模式识别的例子表明这些公式是实用的。

关键词: Vague值, 转化, 相似度量, 模式识别

Abstract: The properties of the transformation of a Vague value are studied,and an axiomatic definition of similarity measure between Vague sets is introduced,and the two classes of similarity measures between Vague sets based on the transformation of a Vague value are presented.An example is used to pattern recognition indicates that these formulas are practicable.

Key words: Vague values, transformation, similarity measures, pattern recognition

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