基于Vague集相似度量的股票选择  

Choosing Stocks Based on Similarity Measure of Vague Set

作　　者：朱振国[1] 宋军[1] 乜堪雄[2] 

机构地区：[1]重庆交通大学计算机及信息学院,重庆400074 [2]重庆交通大学财经学院,重庆400074

出　　处：《计算机科学》2008年第7期199-201,212,共4页Computer Science

基　　金：重庆市自然科学基金(CSTC2006BB2413);重庆交通大学青年科学基金(200533)

摘　　要：选择具有投资价值的股票是股市投资者面临的现实问题,价值发现型的投资理念迫切需要科学的股票选择方法与之相对应。本文基于Vague集相似性度量提出一种价值型股票投资的选择方法。用Vague集核属性构建价值型股票评价体系后,使用本文提出的Vague集相似性度量方法挑选出与目标预期相符的股票。本文的方法对于投资者选择适合投资的股票具有现实意义。It is a real problem that choosing stocks with the value of investment from a stock market for stock market investors. Correspondingly, the investment ideas with value found would like to meet the scientific choosing stocks method urgently. In this paper, a new choosing stocks method for value stocks investment is proposed by using similari- ty measure of vague set. At first, the evaluation system for value stocks investment is constructed by betaking the vague core. The second, those stocks with the target expected are selected through using the similarity measure of vague set that is proposed by the author. The choosing stocks method has practical and immediate significance to the stock market investor.

关 键 词：VAGUE集 相似性度量 股票评价 股票选择 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] F830.91[自动化与计算机技术—控制科学与工程]