基于改进GMDH和AC聚类算法的竞争力模型研究——钢铁行业竞争力分析  

Competitiveness Model Based on Improved GMDH & AC Algorithm —Application in Iron & Steel Industry

作　　者：冯兰刚[1,2] 赵国杰[1] 焦彦臣[2] 

机构地区：[1]天津大学管理学院,天津300072 [2]石家庄经济学院,河北石家庄050031

出　　处：《西安电子科技大学学报（社会科学版）》2011年第2期1-5,共5页Journal of Xidian University：Social Science Edition

基　　金：国家自然科学基金(NSFC70772026);河北省社科基金(HB08BYJ035);河北省软科学项目(094572111D)

摘　　要：基于自组织数据挖掘算法,以钢铁行业为分析背景,以新的视角对竞争力模型开展研究。首先运用GMDH算法的自动筛选特性生成钢铁行业竞争力评价指标体系,并自动生成权重;然后通过AC聚类技术,结合GMDH算法所建立的指标体系,最终确立钢铁行业的竞争力分析模型。利用模型评价河北省钢铁行业的竞争地位,并与其它省市进行对比,认为河北是钢铁大省,并不是钢铁强省,要提高河北钢铁行业的竞争实力可以借鉴与其发展轨迹相似的上海和辽宁的发展经验。In this paper,competitiveness model in iron steel industry is researched from a new view with the self-organization of data mining algorithm.Firstly,the competitiveness evaluation index system in steel industry and their weights are generated using the algorithm of GMDH.Secondly,the steel evaluation model is established with analog complexion Algorithm.We analyze the competitive position of Hebei province,and compare with other areas.Lastly,we come to conclusions that Hebei is not strong in steel industry,and that in order to enhance the competitiveness,we can draw some lessons from Shanghai and Liaoning which are similar to Hebei in the developing path of iron steel industry.

关 键 词：相似体合成算法 自组织 钢铁产业 竞争力 

分 类 号：F271.3[经济管理—企业管理]