期刊文献+

模糊规则归纳法及GDP主要影响因素分析 被引量:3

Fuzzy Rule Induction and the Analysis of Some Critical Factors Affecting the Increase of GDP
下载PDF
导出
摘要 使用一种新的自组织数据挖掘方法模糊规则归纳法根据GMDH技术自动地从数据中提取模糊规则形成更自然语言描述的模糊模型阐述了模糊规则归纳法的算法原理及建模步骤并给出了四川经济发展的建模研究实例分析出影响GDP增长的主要因素展示了模糊规则归纳法的突出特点文中还对模糊规则归纳法和GMDH方法进行了比较说明模糊规则归纳法进行因素分析的优越性 In this paper we use a new self-organizing data mining methodFuzzy Rule Induction(FRI), which extracts Fuzzy rules based on GMDH technique from the data autonomously to form the Fuzzy Model described in a more natural language. Some principles and processes of FRI method are developed in this paper. A model case about the economy in SiChuan Province of China is presented to analyzing some critical factors affecting the increase of GDP of SiChuan, while the related suggestions of policy are derived from this foundation. In addition, the comparison between the FRI and the GMDH has showed the advantage of FRI in anglicizing factor.
出处 《电子科技大学学报》 EI CAS CSCD 北大核心 2002年第1期92-96,共5页 Journal of University of Electronic Science and Technology of China
关键词 模糊规则归纳法 数据挖掘 因素分析 GMDH方法 国民生产总值 GDP FRI data mining the analysis of factor GMDH GDP
  • 相关文献

参考文献1

二级参考文献3

  • 1田益祥,电子科技大学学报,1997年,36卷,增刊,4页
  • 2田益祥,经济数学,1995年,12卷,2期,12页
  • 3李一智,经济预测技术,1992年,10页

共引文献14

同被引文献20

  • 1盛昭瀚,柳炳祥.客户流失危机分析的决策树方法[J].管理科学学报,2005,8(2):20-25. 被引量:49
  • 2郑明翠,贺昌政.自组织数据挖掘与回归分析方法的比较研究[J].系统工程与电子技术,2005,27(10):1748-1751. 被引量:6
  • 3赵宇,李兵,李秀,刘文煌,任守榘.基于改进支持向量机的客户流失分析研究[J].计算机集成制造系统,2007,13(1):202-207. 被引量:41
  • 4钱苏丽,何建敏,王纯麟.基于改进支持向量机的电信客户流失预测模型[J].管理科学,2007,20(1):54-58. 被引量:25
  • 5http://tech.sina.com.cn /i/ 2009 01 24/ 220927 77 210.shtml.
  • 6Allemby G M,Peter J L.Modeling Household Purchase Behavior with Logistic Normal Regression[J].Journal of American Statistics Association,2005,189 (12):1218-1231.
  • 7Yi Ming,Hui Wan,Lei Li,et al.Multi-dimensional model based clustering for user-behavior mining in telecommunications industry[C]//Proceeding of the Third International Conference on Machine Learning and Cybernetics,Shanghai,2004:26-29.
  • 8Baesens,Bart,Verstraeten,et al.Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers[J].European Journal of Operational Research,2004,156(2):508-523.
  • 9Sum Kim,Kyung-Shik Shin,Kyungdo Park.An application of support vector machines for customer churn analysis:redit card case[C]//Advances in Natural Computation.First International Conference,ICNC 2005:636-647.
  • 10Au W,Chen K C C,Yao X.A novel evolutionary data mining algorithm with applications to churn prediction[J].Evolutionary Computation,IEEE Transactions,2003,7(6):532-545.

引证文献3

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部