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基于边角关系的三角形类型的模糊识别

Fuzzy recognition of triangle type

中文摘要英文摘要

为了解决三角形识别准确率低的问题,本文基于简单模糊模式和其改进简单模糊模式识别方法的缺点,用三角形的边长关系构造了一种新的三角形识别方法,定义了五种类型的隶属函数,最后根据最大隶属度原则,对三角形进行识别。通过实验结果表明:新方法能准确对三角形进行识别,确定其具体属于哪一类别,识别准确率高,并克服了其他识别方法的缺点,具有很好的应用前景。

In order to solve the problem of low accuracy of triangle recognition,a new triangle recognition method is constructed by using the edge length relationship of triangles, which is based on the simple fuzzy mode and its shortcomings of improving the simple fuzzy pattern recognition method in this paper.Five types of membership functions are defined and triangles are recognized according to the principle of maximum membership degree finally.The experimental results show that the new method can accurately identify the triangle, determine which category it belongs to, the recognition accuracy is high, and overcome the shortcomings of other identification methods. It has good application prospects.

李想、冀明、孙先禄

数学

模糊模式识别三角形边长隶属函数最大隶属度原则

fuzzypattern recognitionside length of trianglesubordinate functionmaximum membership principle

李想,冀明,孙先禄.基于边角关系的三角形类型的模糊识别[EB/OL].(2021-06-18)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/202106-58.点此复制

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