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基于模糊聚类分析的土地适宜性评价研究
引用本文:张愉,刘倩,吴柏清. 基于模糊聚类分析的土地适宜性评价研究[J]. 四川轻化工学院学报, 2013, 0(5): 96-100
作者姓名:张愉  刘倩  吴柏清
作者单位:[1]成都理工大学旅游与城乡规划学院,成都610059 [2]成都理工大学管理科学学院,成都610059
基金项目:四川省杰出青年学科带头人培养计划项目(06ZQ026-014);四川省教育厅自然科学重点项目(2006A116)
摘    要:土地适宜性评价是评定土地对于某种用途是否适宜以及适宜的程度,模糊聚类分析是依据客观事物间的特征、亲疏程度和相似性,通过建立模糊等价关系对客观事物进行分类的数学方法。文章针对泸定县的14个复垦区的土地,提出了一种基于模糊聚类分析的土地适宜性评价方法,运用Matlab进行数值模拟和分析,表明了该方法的可行性和有效性。

关 键 词:土地适宜性评价  模糊聚类分析  Matlab

Study of Land Suitability Evaluation Based on the Method of Fuzzy Clustering
ZHANG Yu,LIU Qian,WU Bo-qing. Study of Land Suitability Evaluation Based on the Method of Fuzzy Clustering[J]. Journal of Sichuan Institute of Light Industry and Chemical Technology, 2013, 0(5): 96-100
Authors:ZHANG Yu  LIU Qian  WU Bo-qing
Affiliation:1. School of Tourism and Rural and Urban Planning ; 2. School of Management Sciences, Chengdu University of Technology, Chengdu 610059, China)
Abstract:Land suitability evaluation is to assess the suitability and suitable degree of the land for a particular purpose. The fuzzy clustering analysis is a kind of optimization technology based on characteristics between objective things, the degree of affinity and similarity, it classifies objective things by creating fuzzy equivalence relation. In view of 14 reclamation districts in Luding county, a method of land suitability evaluation based on fuzzy clustering is proposed, the numerical simulation and analysis are carried by Matlab, and results show that the method is feasible and valid.
Keywords:land suitability evaluation  fuzzy clustering analysis  Matlab
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