基于主成分的绿色产业评价指标体系的构建毕业论文.doc

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1、 学科分类号 110 黑龙江科技大学 本科学生毕业论文题 目 基于主成分的绿色产业评价指标体系的构建 Based on the Principal Component of the Construction of the Evaluation Index System of Green Industry 姓 名 学 号 院 (系) 理 学 院 专业、年级 数学与应用数学09-2班 指导教师 2013年6月10日摘 要 关于绿色产业的发展是全球都研究和关注的热点话题。综合评价问题涉及到经济、政治、社会等许多领域,应用极其广泛。综合评价的基础和依据是一套科学合理的评价体系。因此,指标体系构建的合理

2、与否直接决定了综合评价结论的科学性及合理性。本文主要采用系统聚类、主成分分析等方法建立一套绿色产业评价指标体系。首先,构建绿色产业指标海选体系,收集整理2001-2010年大连市绿色产业相关指标及数据,采用系统聚类方法进行聚类,每个指标层内采用主成分分析,选择出对整个子类评价结果影响最大的指标。既避免了指标间的信息重复对于评价结果的影响,同时保留了每个子类内对评价结果影响最大的指标。最后,构建绿色产业评价指标体系。为实现绿色产业综合评价提供了基础和依据,对绿色产业的评价至关重要。所以建立一套绿色产业评价指标体系具有十分重要的意义。关键词 指标评价体系 主成分分析 聚类分析 负载系数Abstra

3、ctComprehensive evaluation involves many domains such as economy, politics, society, is widely applied. Based and comprehensive evaluation is based on a set of scientific and reasonable evaluation system, as a result, the index system of building is reasonable or not directly determines the scientif

4、icity and the rationality of the comprehensive evaluation conclusion, in this paper, by adopting the method of system clustering, and principal component analysis. First, build a green industry audition system, collected in 2001-2010 DaLian city green industry related indicators and data, USES the s

5、ystem clustering method, every index layer adopts the principal component analysis were selected with the greatest impact to the whole category refers to the evaluation results. Avoid the repeated for index of information between the influence of the evaluation results, while retaining most affected

6、 by the result of the evaluation indicators within each category. The last build evaluation index system of green industry. This green industry to achieve comprehensive evaluation to establish a set of scientific and reasonable evaluation index system. About the development of green economy and gree

7、n industry is a global hot topic in the research and attention. In our country, theoretical research and practice of green industry investment guide, including theoretical research is still in the study only macro perspective green investment, instead of standing in the meso and micro combined close

8、ly with the perspective of green industry investment; Investment in green industries, on the other hand, the practice is still in the mastery of a single industry, no scale and achieve the economies of scale formation of industrial clusters. Therefore, is essential to the evaluation of green industr

9、y. So to establish a set of evaluation index system of green industry is of great significance. Keywords Indicators evaluation system Principal component analysis Clustering analysis load factor目录第1章 绪 论.11.1 绿色产业的简述11.1.1 课题背景11.1.2 研究的目的与意义11.2研究的历史和现状21.2.1绿色产业国内外研究的现状和不足21.2.2主成分评价指标体系的发展现状31.3

10、论文的主要内容5第2章 聚类分析82.1系统聚类分析82.1.1系统聚类法的基本步骤82.1.2系统聚类方法82.2明氏距离法9第3章主成分分析理论113.1 主成分分析方法简介113.1.1 主成分分析的基本思想113.1.2主成分分析的计算原理113.2 主成分分析的数学模型143.3 主成分分析方法的推导153.3.1主成分分析推导过程153.3.2 主成分的主要性质183.4本文的计算步骤19第4章 实际问题分析224.1 数据来源与指标选择224.2指标的标准化244.3分层聚类274.4 利用主成分分析对指标数据进行分析314.5对指标进行评价建立指标体系364.6预期与展望41结

11、 论42致 谢43参考文献.44DirectoryChapter1 introduction11.1 A brief description of the green industry11.1.1 Background topics21.1.2 Purpose and significance of the study21.2Study the history and current situation31.2.1Green industry domestic and foreign research the insufficiency31.2.2Principal component eva

12、luation index system of the development 31.3 The main content of the paper5Chapter 2 Clustering82.1Cluster analysis82.1.1 The basic steps of system clustering method82.1.2Cluster Analysis9Chapter 3 Theory of principal component analysis113.1 Principal Component Analysis Method113.1.1 The basic idea

13、of principal component analysis113.1.2PCA calculation principles113.2 Principal component analysis of the mathematical model143.3 Derivation of the main component analysis153.3.1Derivation of principal component analysis153.3.2 PCA calculation steps183.4The main properties of the principal component

14、19Chapter 4 Analyzes the practical problems224.1 Data sources and selection of indicators224.2Standardized indicators244.3Hierarchical clustering274.4 Principal component analysis to analyze data on indicators314.5Expectations and prospects364.6 Evaluation of indicators to establish indicators41Conclusions42Acknowledgements43Reference Documentation.44VI第1章 绪 论1.1 绿色产业的简述1.1.1 课题背景从1992年联合国环境与发展大会以来,将环境问题与发展问题结合起来,将“可持续发展”作为人

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