摘要
根据人类思维具有"灰性"的特点,提出了基于相对指标的FDI综合福利效应聚类评价模型。利用已收集的数据,以灰色系统理论为基础,确定聚类指标,评定等级量化标准及聚类灰类,并通过构造白化权函数进行灰色聚类分析,不仅能够正确地判别福利效应的类别,而且能在灰色聚类系数矩阵中显示各样本对于不同类别的隶属程度。对1986-2008年的FDI综合福利效应进行了聚类评价分析,结论具有较高的可靠性与针对性。
According to the characteristics of ＂gray＂ in human thinking, this research raised the clustering evaluation model of FDI comprehensive welfare effects based on the relative indicators. It determines the clustering indicators, ra- ting standards and clustering grays in terms of data collected and on the basis of gray system theory. Then, through es- tablishing whitenization weight functions to carry out gray clustering analysis, it can not only distinguish the categories of welfare effect,but also demonstrate the affiliation levels of each sample on various categories in the gray clustering coefficient matrix. At last, it makes a clustering evaluation and analysis on the FDI comprehensive welfare effect ranging from 1986 to 2008 and the conclusion is highly reliable and relevant.
出处
《计算机科学》
CSCD
北大核心
2013年第8期268-272,共5页
Computer Science
基金
国家自然科学基金(71073179)资助
关键词
白化权函数
外商直接投资
综合福利效应
贫困化增长
灰色聚类
Whitenization weight functions
Foreign direct investment
Comprehensive welfare effect
Immiserizing growth
Gray clustering
