基于AHP-SOM方法下的风险投资项目选择研究  

Research on AHP-SOM-based methods of venture capital investment projects selection

作　　者：李虹[1] 李彦萍[1] 

机构地区：[1]天津理工大学管理学院,天津300384

出　　处：《天津工业大学学报》2008年第6期85-88,共4页Journal of Tiangong University

基　　金：天津市社科基金资助项目(TJ05-GL021)

摘　　要：从风险投资的特点出发,提出将层次分析与自组织神经网络相结合的风险投资项目选择的方法,使复杂传统的评价思维过程数学化.首先采用层次分析法确定各影响因素的相对权重,再构建自组织神经网络模型对风险投资项目进行评估.最后借助Matlab进行实现.实例研究表明,该方法用于风险投资项目选择可行,可为我国风险投资实践发展提供有益的参考.AHP-SOM-based methods of venture capital investment projects selection are explored from the venture capital＇s characteristics for changing the complexity traditional evaluation process to mathematical thinking. The relative weight of various factors are determined by analytic hierarchy prpcess, then the self-organizing neutral network model are set up to evaluate the venture capital investment projects, and the process are implemented by matlab. The experience research show that this method is feasible for evaluating the venture capital investment projects and can provide useful reference for the development of venture capital practice in our country.

关 键 词：风险投资 项目评估 层次分析法 自神经网络 

分 类 号：Q599[生物学—生物化学]