Evaluation on International Competitiveness of Coal Industry Based on GA-PP Model
Tienan Zhang
Abstract
Tienan Zhang
Abstract
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.
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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.
Key concepts: Coal, China, Index (typography), Projection pursuit, Exploratory research, Industrial organization, Projection (relational algebra), Diamond model