基于区间值的模糊聚类分析

Fuzzy Aggregation Analysis Method Based on Interval Value

分析了原有模糊聚类分析中存在的问题,提出了基于区间值的模糊聚类分析方法.该方法用区间值表示各个对象对于每个因素状态的隶属度,在获取了每个对象对于每个因素的特征值后,将其转化为[0,1]上的区间,然后直接在区间的层次上求各个对象间的相似度,在如此求出的相似矩阵的基础上,直接得出聚类的结果.该方法用区间值表示各个对象的属性值,可以更接近于每个对象的客观、真实情况,从而可以更大程度上保留信息.

In this paper, the drawbacks in aggregation are analyzed and a new method based on interval value is presented. The operation of the new method is as follows: first, get each interval value of every element in the classification set, after that, turn the interval into I; second, based on the first step, try to get the similarity of intervals directly; third, aggregation. The advantage of this method is that the interval value of every element can express the element more accurately, and retain more information.