基于云模型间贴近度的相似度量法

Similarity measurement between cloud models based on close degree

在分析模糊理论与云理论的基础上,提出两种新的基于同类概念云模型间贴近度的定义与计算算法,并与其他相似的贴近度进行了比较分析。实验结果表明,所提出的算法形式简单,在算法精度和算法消耗上有明显优化,特别在云滴极少的情况下仍能保持良好的精度效果。将该方法应用于真实电影评价数据的分类中,具有较好的可行性和有效性。

This paper proposed two kinds of measurements based on close degree between the cloud models had the same na- ture concepts. Algorithms were simple, especially still maintained the accuracy in few cloud drops. The experimental results show that the proposed algorithm has obvious optimization accuracy and consumption,meanwhile appeares good feasibility and validity in classification problems based on cloud model.