模糊聚类分析在旱作农业分区上的应用
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THE APPLICATION OF FUZZY CLUSTER ANALYSIS TO DRYLAND FARMING PARTITION
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    本文选择广东省12个地区样本,根据6个特征,应用模糊聚类分析进行旱作农业分区。结果表明:模糊聚类分析用于旱作农业分区符合实际情况,且比现时旱作农业划分方法为好。模糊数学原理可用于耕作制度的分类和指标权重的评估。这是旱作农业分区定量化研究的一次新探讨。

    Abstract:

    An application of Fuzzy Cluster Analysis to dryland farming partition based on six kind of characters of twelve region samples collected in Guangdong province was conducted and is reported in this paper. The result indicated that Fuzzy Cluster Analysis used in dryland farming partition reflected the real situation and is better than present methods of dryland farming partition. It may be used in the practice of farming system classification and to determing the weights of indexes in the evaluation of farming system. This is a significant attempt in the quantitative research of dryland farming partition.

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吴乐民 温演望.模糊聚类分析在旱作农业分区上的应用[J].华南农业大学学报,1991,(4):37-44

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