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集对分析在我国经济增长模糊规则提取中的应用
引用本文:杨红梅. 集对分析在我国经济增长模糊规则提取中的应用[J]. 运筹与管理, 2013, 22(3): 194-200
作者姓名:杨红梅
作者单位:山西广播电视大学 网络教育学院,山西 太原 030027
基金项目: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。

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  
收稿时间:2012-01-17

The Application of Set Pair Analysis in Fuzzy Rule Extraction of Domestic Economy Growth
YANG Hong-mei. The Application of Set Pair Analysis in Fuzzy Rule Extraction of Domestic Economy Growth[J]. Operations Research and Management Science, 2013, 22(3): 194-200
Authors:YANG Hong-mei
Affiliation:Shanxi TV University, Online educational institute, Taiyuan 030027, China
Abstract: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 city at microscopic level, and also provides decision-making reference for the implement of twelfth five-year plan on economy.
Keywords:economic increase  fuzzy rules  set pair analysis  multi-element connection number  the same degree  rough set  
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