【摘要】 目前模糊技术已经应用于许多智能系统,如模糊关系与模糊聚类.聚类是数据挖掘的重要任务,它将数据对像分成多个聚类,在同一个聚类中,对象的属性特征之间具有较高的相似度,有很大研究及应用价值.结合数据库中的挖掘技术,对属性特征为区间数的多属性决策问题,提出了一种基于区间数隶属度的区间模糊ISODATA动态聚类方法.更多还原

【Abstract】 Fuzzy technology has been applied to many intelligent systems,such as Fuzzy relations with Fuzzy clustering,clustering is data miningthe important task of data,it will be divided into several clustering,in the same clustering,object attributes similarity between high,with a larger study and application value.Based on the data mining technology,in reality attributes for the interval number representation of multiple attribute decision making problems,this paper puts forward a method based on interval Numbers of membership ISODATA interval dynamic clustering method.更多还原