Research on the Competitiveness of Steel Industry in Hebei Province Based on Self-organizing Data Mining Technology

摘要：

In this paper,the competitiveness of steel industry in Hebei province is analyzed and evaluated using the selforganizing data mining technologies with comparative a nalysis method. Firstly,the GMDH( group method of data handling) algorithm is used to generate the steel industry’s competitiveness evaluation model,and at the same time,the evaluation index system and their weights are also obtained. Then we can evaluate the competitive ness of steel industry in Hebei Province compared with other provinces/cities,such as Beijing,Shanghai,Liaon ing & Sichuan,with the Analog complexing method,and then the comparative competitiveness position is ob tained through the analysis. At last,we can come to a conclusion that Hebei province,a large one in steel industry but not strong,is needed to do more to improve its competitiveness of steel industry,such as drawing on experiences from Shanghai city and Liaoning province which are more strong in this industry.

关键词： GMDH C clustering competitiveness self-organizing data mining

作者: FENG Langang ZHAO Guojie YAN Junyin

作者单位: School of Management,Tianjin University,P. R. China School of Management Science and Engineering,Shi School of Management,Tianjin University,P. R. China School of Management Science and Engineering,Shijiazhuang University of Economics,P. R. China

会议类型: 国际会议

会议名称: Zhengzhou Conference Conference on Management of Technology(2009郑州技术管理研讨会 MOT2009)

会议地点: 郑州

会议语种:英文

页码: 568-571

在线出版日期: 2009-04-17（万方平台首次上网日期，不代表论文的发表时间）