摘要
Vague集是Fuzzy集的扩展,在给出几种构造Vague集相似矩阵方法的基础上,将Fuzzy集上的编网法和最大树法引入到Vague集上,定义了Vague关系图,并给出了基于Vague集的直接聚类法:编网法和最大树法。最后使用文献[1]中的例子,分别采用Vague传递闭包法和Vague直接聚类法进行计算。实验结果表明,Vague直接聚类法计算简单,不会造成原始信息的失真,比Vague传递闭包法更加有效。
Vague sets are the extend of Fuzzy sets.Some methods to construct vague similar matrices are given.The method of draw up web and the max tree method are introduced to vague sets.The concept of graph of vague relations based on the methods are presented, and the direct Clustering methods based on vague sets are also given, they are method of draw up web and max tree method.Finally,using the example appeared in Ill,vague transfer closure method and the vague direct clustering method are used to calculate respectively.The experimental results show that the vague direct clustering method is easy,not causing distortion of the original information,and is more effective than vague transfer closure method.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第31期143-147,共5页
Computer Engineering and Applications
基金
云南省自然科学基金No.2009CD076~~
关键词
VAGUE集
直接聚类法
编网法
最大树法
vague sets
direct clustering method
method of draw up web
max tree method
