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信息意义下Vague集的相似度量
引用本文:权双燕. 信息意义下Vague集的相似度量[J]. 计算机工程与应用, 2007, 43(25): 87-88
作者姓名:权双燕
作者单位:陕西理工学院,数学系,陕西,汉中,723000
摘    要:从信息熵的角度出发,提出了一种新的度量Vague集之间相似度量的计算方法,并对其性质进行讨论。通过与现有方法的比较,阐明该方法具有较强的分辨力。用例子说明Vague集之间相似度量在模式识别中的应用。

关 键 词:Vague集  偏熵  相似度量
文章编号:1002-8331(2007)25-0087-02
修稿时间:2006-12-01

Similarity measures between vague sets based on information
QUAN Shuang-yan. Similarity measures between vague sets based on information[J]. Computer Engineering and Applications, 2007, 43(25): 87-88
Authors:QUAN Shuang-yan
Affiliation:Department of Mathematics,Shaanxi University of Technology,Hanzhong,Shaanxi 723000,China
Abstract:A new similarity measure between vague sets based on information entropy has been proposed,and its properties has been discussed.This new method has been illustrated by comparison with the present measure methods that it has stronger discrimination.The similarity measures between vague sets have been applied to pattern recognition.
Keywords:vague sets  partial entropy  similarity measures
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