Abstract: The classification based on cloud model always uses cloud transform and Pan-Concept-Tree，it brings on inconsistency between the result and prior knowledge.The cloud model with the view of granularity computation was analyzed and the principle of granularity in cloud model was discovered.An approach was proposed for classifying objects in different granularity based on disassembly cloud，and the algorithm description of the approach was given.The algorithm was tested with the data collected by Fengyun-2C satellite，the experimental result showed that the new approach can get quite good effect of classification.

摘要： 基于云模型的分类算法多采用云变换和泛概念树方法，存在分类结果与先验知识不一致的问题。从粒度计算的角度对云模型理论进行了分析，揭示出云模型的粒度原理。提出了一种基于分解云的不同粒度下的云模型分类方法，并给出了分类方法的算法描述。用风云2C气象卫星的数据对算法进行了测试，从实验结果来看该方法具有较好的分类效果。