摘要
本文用模糊图论的最大树方法对山西植被区划进行了数量分类研究,将山西植被分为2个植被地带,6个植被地区,17个植被小区。与在植物群落学中应用的模糊聚类分析和其它方法相比,模糊图论的最大树方法直接依模糊相似系数矩阵得到树状图,从而避免了相似系数矩阵复杂的合成运算,而分类结果不仅更具直观性,而且也是令人满意的。我们认为模糊图论应用于植被区划是合适的。
In this paper, the maximal-tree method of the fuzzy graph theory isapplied to the numerical classfication research of vegetational regionalismof Shanxi Province, which is divided into 2 vegetational zones, 6 vegeta-tional regions, 17 vegetational plots. Compared with fuzzy clustering an-alysis and other methods which are used in plant synecology, the maxi-mal-tree method of the fuzzy graph theory produces tree graph from si-milar coefficient matrices directly so that it avoids the comples compou-nd calculation of similar coefficient matrices. However, the result is notonly more audio-visual, but also more satisfactory, Thus we deem it su-itable to apply the fuzzy graph theory to vetetational regionalism.
关键词
植被区划
模糊图论
山西
Vegetational regionalism
Fuzzy graph theory
Maximaltree method Tree graph
