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Application of the concept lattice based on principal components in the evaluation of regional logistics development

机译:基于主成分在区域物流发展评价中的概念格的应用

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Regional logistics development evaluation is a hot research field nowadays. In order to solve the problem of high complexity and multiply correlated indexes during the regional logistics evaluation, evaluate the developmental level of regional logistics scientifically and thus provide with scientific decision for relevant governmental departments, this paper proposes a method, i.e. the principal component combined with concept lattice, to evaluate the developmental level of the regional logistics. Referring to the statistical data, this paper comprehensively evaluates the developmental situations of China Mainland's provincial logistics. According to the analysis and research results, the principal component analysis (PCA) based on the data can be used to undertake the dimension reduction process on multiple indicators; in addition, it to some degree weakens the multiple correlations between the indicators. Based on the score of the principal component, the concept lattice can be applied to lower the complexity of the evaluation, enhance the interpretability of the evaluation and make the evaluation result more consistent with the reality.
机译:区域物流发展评价研究的热点领域时下。为了在区域物流评估过程中要解决的高复杂性和乘相关指标的问题,科学地评价区域物流的发展水平,从而与政府有关部门科学决策提供,本文提出了一种方法,即用结合主成分概念格,以评估区域物流的发展水平。参考统计数据,本文全面评估中国内地的省级物流的发展情况。根据分析和研究成果的基础上,数据的主成分分析(PCA)可以用来进行关于多个指示器的尺寸缩小处理;另外,它在一定程度上削弱了指标之间的多重相关性。基于主成分的得分,概念格可以应用于降低评估的复杂性,提高了评估的可解释性,使评价结果与现实更为一致。

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