摘要
针对具体的土地评价问题,构建结构清晰、具有可靠性的土地评价的超图数据聚类模型,应用改进的聚类算法,设计聚类的有效性评价指标。并通过实例验证该方法在城镇土地定级中聚类结果的有效性和准确性。
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 showed that classifying the farmland by using Fuzzy Hypergraph space data clustering Model was stable and reliable.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
2007年第11期126-128,151,共4页
Journal of Wuhan University of Technology
关键词
超图聚类模型
模糊特征相似度
农地评价
模拟退火算法
hypergraph data clustering
fuzzy theory
farmland classification
simulated annealing algorithm
