集对分析在我国经济增长模糊规则提取中的应用  

The Application of Set Pair Analysis in Fuzzy Rule Extraction of Domestic Economy Growth

作　　者：杨红梅[1] 

机构地区：[1]山西广播电视大学网络教育学院,山西太原030027

出　　处：《运筹与管理》2013年第3期194-200,共7页Operations Research and Management Science

基　　金：山西广播电视大学校级立项课题(201312)

摘　　要：针对粗糙集和模糊聚类方法提取我国经济增长模糊规则算法复杂的问题,把集对分析用于我国31个省市经济增长模糊规则提取。结果显示,不仅算法简明,而且能同时提取宏观层次上的经济增长规则—固定资产投资对GDP的拉动效果要大于人力资源对GDP的拉动效果,而且还从微观层次上揭示出各省的经济增长规则,为我国十二五经济发展规划的实施提供决策参考。In accordance with the complexity of rough set and fuzzy clustering to extract domestic economy growth, we use the set pair analysis to analyze the fuzzy rule extraction of economic growth in 31 cities. The result shows that this kind of method is not only simple but also can extract economic growth rule at macroscopic level fixed asset investment plays a more important role to promote GDP than human resource,and reveals the economic growth rule of each eity at microscopic level, and also provides decision-making reference for the implement of twelfth five-year plan on economy.

关 键 词：经济增长 模糊规则 集对分析 多元联系数 同一度 粗糙集 

分 类 号：F201[经济管理—国民经济]