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基于模糊模式与邻域的三角形识别

发表时间:2019-03-22  浏览量:450  下载量:33
全部作者: 郭直清,刘威,刘海涛,牛英杰,刘梦媛
作者单位: 辽宁工程技术大学理学院
摘 要: 为解决在传统模糊模式识别下三角形识别不准确的问题,基于模糊模式与邻域的思想,提出一种新的三角形识别隶属函数,定义了5种类型的三角形“模糊邻域”,最终根据最大贴近度原则,对三角形进行识别。数值实验结果表明,该方法不仅很好地避免了传统模糊模式识别方法在识别三角形时,因取大取小原则出现信息丢失而导致的识别不准确的问题,而且解决了等腰直角三角形与等腰三角形及直角三角形无法明确识别的问题。
关 键 词: 模糊数学;模糊模式识别;邻域;三角形类型;最大贴近度原则
Title: Triangle recognition based on fuzzy pattern and neighborhood
Author: GUO Zhiqing, LIU Wei, LIU Haitao, NIU Yingjie, LIU Mengyuan
Organization: College of Science, Liaoning Technical University
Abstract: In order to solve the problem of inaccurate triangle recognition under traditional fuzzy pattern recognition, based on the idea of fuzzy pattern and neighborhood, a new triangle recognition membership function is proposed. Five types of triangular “Fuzzy Neighborhood” are defined. Finally, according to the maximum closeness principle, the triangles are identified. Numerical experiments results show that, the method not only avoids the inaccurate identification due to the loss of information by the principle of taking big or small when identifying triangles by traditional fuzzy pattern recognition method, but also solves the problem that isosceles right triangle, isosceles triangle and right triangle can’t be clearly identified.
Key words: fuzzy mathematics; fuzzy pattern recognition; neighborhood; triangle type; the maximum closeness principle
发表期数: 2019年2月第1期
引用格式: 郭直清,刘威,刘海涛,等. 基于模糊模式与邻域的三角形识别[J]. 中国科技论文在线精品论文,2019,12(1):26-34.
 
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