基于MATLAB的模糊聚类分析方法研究地方城市经济实力

文档编号:WLX017  字数:7687,页数:19

 摘  要
本文将以MATLAB数学软件为工具，采用模糊聚类分析方法对长三角地区15个城市进行综合性的归类，分析与评价。利用2001年长三角地区城市基本经济数据[1][2]：国内生产总值，第三产业比重，财政收入，人均GDP，财政收入占GDP比重，出口额，实际利用外资，土地面积，社会消费品总额，年末人口，城镇居民可支配收入，农民人均纯收入，以这14个经济指标为基础，利用模糊聚类中根据模糊等价矩阵分类的方法把这15个城市按综合经济实力进行合理的分类，把经济实力相近的划为一类，避免经济实力相近的城市相互恶性竞争。把经济实力不属于同一档次的划成不同类，可以防止大城市对弱势城市的压榨，弱势城市盲目的和大城市比拼。通过对聚类结果的分析，提出长江三角洲地区在发展过程中应加强城市合作，提高第三层次城市的综合实力，促进一体化发展。
关键词：城市经济实力  MATLAB  模糊聚类分析

Abstract
Using fuzzy clustering analysis, this paper comprehensively categorize, analyze and evaluate the Yangtz River Delta region 15 cities by MATLAB mathematical software tools. By the basic economic data of Yangtz River Delta region in 2001: GDP, the proportion of tertiary industries, financial income, per capita GDP, the proportion of fiscal revenue in GDP, exports, foreign capital actually used, the area of social consumer goods, the population at the end of each year, Per-Capita Disposable Income of urban residents, Per-Capita Disposable Income of farmer . These 15 cities are divided into any zones in comprehensive strength．To avoid leading to vicious competition, the cities with similar economic strength will be devided into the same category. To prevent major cities pressing the vulnerable cities and the disadvantaged cities competing with major cities blindly, the cities with different economic strength level should be divided into different categories. By analyzing the results of fuzzy clustering, the cooperation of cities should be enhanced during the time of development at Yangtz River Delta region. And to promote integrative development, the comprehensive strength of the third level cities should be increased.
 Keywords：City economic strength, MATLAB ,fuzzy clustering analysis

目  录
 中文摘要 Ⅰ
 英文摘要 Ⅱ
 目录 Ⅲ
 第一章  绪论
 1.1  研究动机与目的 1
 1.2 研究方法与系统描述 1
 第二章 模糊聚类分析 2
 2.1   聚类的基本步骤 2
 2.2   MATAB的简单介绍  2
 2.3   采用模糊聚类分析对具体数据的操作 3
 2.3.1  数据采集 3
 2.3.2  求模糊相似矩阵 3
 2.3.3  求模糊等价矩阵 4
 2.3.4  聚类分析  5
 2.4   算法说明 7
 第三章  结果分析 8
 3.1 层次分析 8
 3.1 区域分析 8
 第四章   政策建议 10
 参考文献 11
 致谢 11
 附录A      数据资料 11
            程序源代码

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