模糊聚类分析在农业区域划分中的应用  

Application of Fuzzy Clustering Analysis to Agricultural Regional Division

作　　者：朱泉雯[1] 颜丽 

机构地区：[1]扬州职业大学,江苏扬州225009 [2]扬州化工产业投资发展有限公司,江苏扬州225000

出　　处：《扬州职业大学学报》2015年第3期37-40,共4页Journal of Yangzhou Polytechnic College

摘　　要：模糊聚类方法是一种多元化的采用"物以类聚"为特征的分类分析方法。它通过多个指标将样品划分为若干类,这种分类方法可以很好地应用在环境规划和评价中。本文以农业区域环境为例,从干燥度、灌溉率、缺水程度、综合水量余缺四个指标进行分区,并详细阐述了该方法的主要步骤和计算过程。Fuzzy Clustering Analysis refers to a diversified method of classifying analysis, characterized by birds of a feather flock together. In this method, samples are divided into some clusters on the basis of several indexes, which can be applied in environmental planning and evaluation. Taking agricultural regional environ- ment as an example, this paper gives a discussion on making clusters from such four indexes as dryness, irri- gation rate, water shortage degree, and the comprehensive surplus and deficiency of water. Meanwhile, it presents in detail the main steps and calculating process of the above method.

关 键 词：模糊聚类 矩阵 农业区域划分 

分 类 号：S181[农业科学—农业基础科学]