本文应用模糊聚类分析方法对福建海岸带32个土壤样品进行了多指标的分类。研究结果表明,供试32个样品可分为六个土壤类型。对六类土壤的有机质、全氮、全磷、全钾、物理性粘粒,pH值,代换量及含盐量八项主要特性指标进行方差分析的结果,除了全钾,含盐量未达到类型间F值测验显著水平外,其他各项指标均达显著或极显著水平。该方法可作为水稻土基层分类的重要依据。 In this paper, fuzzy clustering analysis was used to classify 32 soil samples from Fujian coast. The results show that 32 samples can be divided into six soil types. The results of variance analysis of the eight main indexes of organic matter, total nitrogen, total phosphorus, total potassium, physical clay, pH value, substitution amount and salinity of the six soil types, except total potassium and salt content Reaching the significant level of F value test among types, the other indexes reach significant or extremely significant level. The method can be used as an important basis for the classification of paddy soil.