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计算机工程 ›› 2010, Vol. 36 ›› Issue (06): 184-185.doi: 10.3969/j.issn.1000-3428.2010.06.062

• 人工智能及识别技术 • 上一篇    下一篇

模糊匹配中的匹配度计算方法

李红明，秦贵和，郝 勃，冀进朝   

  1. (吉林大学计算机科学与技术学院，长春 130012)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-03-20 发布日期:2010-03-20

Calculation Method of Matching Degree in Fuzzy Matching

LI Hong-ming, QIN Gui-he, HAO Bo, JI Jin-chao   

  1. (College of Computer Science and Technology, Jilin University, Changchun 130012)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-03-20 Published:2010-03-20

PDF

1865

被引次数

15 | 3

摘要： 介绍模糊推理机制中用于解决普通模糊匹配冲突问题的常用方法，包括海明距离和指数法。基于指数法提出类指数法和绝对值差积法，根据相似度的定义证明其正确性。算例比较结果表明，绝对值差积法的性能优于其他3种方法。

关键词: 模糊匹配, 冲突消解, 匹配度, 指数法, 海明距离

Abstract: This paper introduces the common methods for solving the collision problem of general fuzzy matching in fuzzy reasoning mechanism, including the Haming distance method and the exponent method. It presents the exponent-like method and the absolute value difference and product method based on the exponent method. The two methods are improved to be correct according to the definition of similarity. Numerical example comparison results show that the absolute value difference and product method has higher performance than the three other methods.

Key words: fuzzy matching, collision resolution, matching degree, exponent method, Haming distance

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