基于模糊层次分析法的股票选择问题研究
毕业论文关键词：模糊层次分析法 股票投资 三角模糊数 判断矩阵
Title ： A fuzzy AHP method for stock portfolio selection
Abstract With China's rapid economic growth, the stock market even more prosperity. The high yield stocks attracting more and more investors, these investors blindly into stock investment among the atmosphere itself is vulnerable to the impact of the stock market, and thus irrational, causing serious at the same time the stock market chaos, so that themselves assumed a greater investment risk, because investors tend to select some mistakes down the drain. However, the stock investment is not just a rational and methodical. On existing research, although there are many rational choice approach, but did not receive widespread recognition. This selection fuzzy AHP stock investment decisions as research methods, the use of fundamental analysis will affect the stock price factors are pided into three levels: the company level, industry level and the macro level. Expert Determination is based on delphi all levels, factor endow triangular fuzzy numbers. By obtaining the triangular fuzzy number judgment matrix at all levels, pairwise comparisons between the factors, find all levels, sort of vector elements which build hierarchical stock selection model is essential. After the completion of the theoretical analysis, this article provides an analysis of case picking, which the company level score analysis through SPSS software to get the other aspects of the various factors score obtained through delphi expert determination, and ultimately obtained after weighting of each stock composite score.
Keywords: fuzzy AHP stock investment triangular fuzzy number judgment matrix
目录
第1章绪论..1
1.1研究背景..1
1.2研究现状..2
1.3研究框架..4
1.3.1研究思路4
1.3.2研究内容5
第2章理论基础6
2.1模糊层次分析法(FAHP)概述.6
2.1.1模糊层次分析法的基本原理.6
2.2模糊层次分析法的理论基础.7
2.2.1模糊数的相关定义..7
2.2.2模糊互补判断矩阵的排序方法8
2.2.3模糊互补判断矩阵的一致性检验11
2.3Delphi法的基本原理.11
第3章股票选择的模糊层次分析模型.13
3.1因素分析以及建立股票选择的数学模型13
3.1.1影响股市的因素分析..13
3.1.2公司层面的因素分析..13
3.1.3行业层面的因素分析..15
3.1.4宏观层面的因素分析..15
3.1.5构建股票选择的递阶层次模型.16
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