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基于格兰杰因果关系检验的ISM改进与应用 被引量:4

Improvement and Application of ISM Based on Grainger Causality Test
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摘要 文章提出了一种基于格兰杰因果关系检验的解释结构模型(计,进而改善了ISM)改进方法,该方法能依据客观统数据识别影响因素的两两关系原有模型中采用专家评价法确定邻接矩阵的主观性困境。通过对物流与经济协同发展水平的影响因素分析,实证检验了解释结构模型改进方法的可行性。 This paper presents an improved method of interpretive structural model (ISM) based on Grainger causality test, which uses objective statistical data to determine the relationship between the influencing factors, and then helps to solve the subjectivity predicament in the original model in which the expert-evaluation method is used to determine adjacency matrix. The paper also analyzes the factors influencing the coordinated development level of logistics and economy, and makes an empirical test which verifies the feasibility of the improved ISM.
出处 《统计与决策》 CSSCI 北大核心 2017年第12期30-33,共4页 Statistics & Decision
基金 教育部人文社会科学规划项目(12YJA630031)
关键词 格兰杰因果关系检验 物流 协同发展 Grainger causality test ISM logistics coordinated development
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