摘要
结合煤炭产业发展实际,提出了煤炭产业竞争力评价的指标体系。采用探索性数据分析方法——投影寻踪法,结合遗传算法,建立了遗传—投影寻踪综合评价模型。以全球11个主要产煤国作为研究样本,根据投影方向参数计算得出了各国的煤炭产业竞争力评价分类特征值和总体综合特征值,并对我国煤炭产业竞争力进行了分析,对于认清我国煤炭竞争力与国外主要产煤国之间的差距与不足,进而提升我国煤炭产业的国际竞争力具有重要的现实意义。
With the actual development of the coal industry,the paper presents the evaluation index to raise the competitiveness of coal industry.Use of exploratory data analysis-projection pursuit method,combining genetic algorithm,and establish the GA-PP model.Based on 11 major coal-producing countries worldwide as the study samples,according to the projection direction parameters of the coal industry,the paper calculates eigenvalue including the competitiveness of national assessment and classification,and analyzed the competitiveness of China＇s coal industry.Based on the former analysis,it is important practical significance to recognize the gap between the China＇s coal competitive with the major coal-producing countries＇,for enhancing our international competitiveness of the coal industry.
出处
《哈尔滨工业大学学报（社会科学版）》
2011年第1期88-91,共4页
Journal of Harbin Institute of Technology(Social Sciences Edition)
关键词
遗传算法
投影寻踪
煤炭产业
竞争力
Genetic Algorithm
projection pursuit
coal industry
competitiveness
