基于模糊超图模型的数据聚类方法在土地定级中的应用

2010 International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2010-11-18 DOI:10.1109/ICAIE.2010.5641147

Lifang Zhu, Yang Liu, Shiyi Zhang

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引用次数: 6

摘要

针对目前耕地分类方法的不足，将模糊理论、超图模型和GIS相结合，建立了模糊超图空间数据聚类模型。对该模型应用于广东省福冈市农田分类的可行性进行了调查和验证。结果表明，利用模糊超图空间数据聚类模型对农田进行分类是稳定可靠的。

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The data clustering method applied in land grading based on Fuzzy-Hypergraph model

Based on the shortage of the classifying methods in the farmland, fuzzy theory, Hypergraph model, and GIS were integrated to develop a Fuzzy Hypergraph space data clustering Model. The feasibility of applying this Model to classify the farmland in the Fogang city in Guangdong Province was investigated and verified. The results show that classifying the farmland by using Fuzzy Hypergraph space data clustering Model is stable and reliable.

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2010 International Conference on Artificial Intelligence and Education (ICAIE)

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