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

机译:基于主成分的概念格在区域物流发展评价中的应用

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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:区域物流发展评价是当今研究的热点。为了解决区域物流评价过程中复杂度高,相关指标繁多的问题,科学地评价区域物流的发展水平,从而为政府相关部门提供科学决策,提出了一种主成分分析法与主成分分析法相结合的方法。概念格,以评估区域物流的发展水平。参照统计数据,对中国大陆省级物流业的发展状况进行了综合评价。根据分析和研究结果,可以将基于数据的主成分分析(PCA)进行多个指标的降维过程。此外,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,可以应用概念格降低评估的复杂度,增强评估的可解释性,并使评估结果与实际情况更加吻合。

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