摘要
提出了一种新的vague值相似性度量方法.与现有的相似性度量方法相比,方法具有区分度好、计算量小和满足相似性度量的基本性质.实践证明,提出的vague值相似度的度量方法是比较合理的.
A new similarity measurement method of Vague is proposed which compare with the existing similarity measurement methods.The proposed method has good distinguishing degree and less computation steps and times which possess the basic properties and satisfying similarity measurement.By the data analysis of data membership degree investigate the pattern recognition to achieve the measuring.By the way,comparison with the results of both methods which has been proved that proposed method is a more reasonable to measure the similarity of Vague value.
作者
刘永志
皮德常
饶绪黎
LIU Yong-zhi;PI De-chang;RAO Xu-li(Alibaba Big Data School of Fuzhou Polytechnic,Fuzhou 350108,China;College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《数学的实践与认识》
北大核心
2020年第5期263-267,共5页
Mathematics in Practice and Theory
基金
福州职业技术学院引进人才科研启动项目(FZYRCQD201901)。
关键词
VAGUE值
相似性
隶属度
模式识别
vague value
similarity
membership degree
pattern recognition
