犹豫模糊语言凝聚式层次聚类算法与应用

Hesitant Fuzzy Language Condensed Hierarchical Clustering Algorithm and Its Application

聚类算法作为一种重要的处理数据信息的工具被广泛运用。文章基于犹豫模糊语言集的定义、距离测度函数、集成函数等,结合凝聚式层次聚类算法,提出一种犹豫模糊语言凝聚式聚类算法。通过汽车口碑聚类为例,基于汽车之家论坛在线评论信息,对汽车口碑进行聚类,验证了该算法的可行性。

Clustering algorithm is widely used as an important tool to deal with data information. This paper, based on the definition of hesitant fuzzy language set, distance measure function, integration function, etc., and combined with condensed hierarchical clustering algorithm, proposes a hesitant fuzzy language aggregation clustering algorithm. Taking the automobile word-of-mouth clustering as an example, and on the basis of auto-home BBS online review information, the paper verifies the feasibility of the proposed algorithm by clustering automobile reputation.