摘要
针对一类特征指标值及指标权重均为区间数的多指标信息聚类问题,给出了一种最大树聚类分析方法·首先对区间数多指标信息聚类问题进行了描述;然后依据传统的基于数值信息的最大树模糊聚类分析方法的基本思路,给出了解决区间数多指标信息聚类问题的计算步骤·最后,通过给出一个算例说明了所给出的聚类方法·
With respect to the problems of which both the characteristic values and weights of indices are uncertain interval numbers, a new maximal tree clustering analysis method is proposed. After a discussion on the problems of multi-index information clustering analysis in terms of interval numbers, a basic concept is formed according to the traditional maximal tree clustering method based on numerical information. Then the computation steps are given to solve such problems, with a numerical example set out to illustrate the applications of the new clustering method as proposed.
出处
《东北大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2004年第2期183-186,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(70071004
70371050)
教育部高等学校优秀青年教师教学科研奖励计划资助项目(教人司[2002]123)
关键词
模糊聚类分析
模糊集
区间数
最大树法
可能度
排序
fuzzy clustering analysis
fuzzy set
interval
maximal tree clustering method
possibility degree
ranking