摘要
针对评估值为犹豫三角模糊元的聚类问题,提出了基于犹豫三角模糊相关系数的聚类算法。首先给出犹豫三角模糊相关系数的定义和计算公式;其次考虑到犹豫三角模糊元权重的影响,将犹豫三角模糊相关系数推广为犹豫三角模糊加权相关系数;最后将提出的方法应用于犹豫模糊环境下的聚类问题,实例分析验证本文方法的可行性。
A clustering algorithm based on the hesitation triangle fuzzy correlation coefficient is proposed to solve the clustering problem of hesitating triangle fuzzy elements.Firstly,the definition and calculation formula of the hesitation triangle fuzzy correlation coefficient of are given.Secondly,considering the influence of the weight of the hesitancy triangle fuzzy element,the hesitation triangle fuzzy correlation coefficient is extended to the hesitation triangle fuzzy weighted correlation coefficient.Finally,the proposed method is applied to the clustering problem in a hesitant fuzzy environment,and the feasibility of the proposed method is demonstrated by an example.
作者
马慧
魏立力
MA Hui;WEI Lili(School of Mathematics and Statistics,Ningxia University,Yinchuan 750021,Ningxia,China)
出处
《山东大学学报（理学版）》
CAS
CSCD
北大核心
2023年第12期118-126,共9页
Journal of Shandong University(Natural Science)
基金
宁夏回族自治区自然科学基金资助项目(2021AAC03039)。
关键词
犹豫三角模糊集
相关系数
层次聚类
模糊数据
hesitation triangle fuzzy set
correlation coefficient
hierarchical clustering
fuzzy data
