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首页> 外文期刊>Journal of systems science & information >Application of Matter-element and Information Entropy in Distribution Analysis of Railway Stations Dealing with Refrigeration Containers
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Application of Matter-element and Information Entropy in Distribution Analysis of Railway Stations Dealing with Refrigeration Containers

机译：物元和信息熵在火车站处理冷藏集装箱分布分析中的应用

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摘要

Distributing of the railway refrigeration container handling stations is influenced by multitudinous factors, such as technique and equipment conditions, intermodal traffic ability, foreground and social economy conditions of the district. In this paper a maiden adoption of the matter-element is applied to combine with information entropy theory to analyze distributing the railway refrigeration container handling stations based on concerned literature and historical data, and a multi-objective decision-making model on analyzing distributing the railway refrigeration container handling stations is set up based on matter-element and extension model. Based on establishing sutra field and controlled field, we apply relating function of matter- element and extension set to get relating function value of the railway refrigeration container handling stations. Finally a case study is carried out to verify the validity, objectivity and applicability of this model through calculated and compared with traditional analysis methods. Practicality application indicates that this method can avoid subjectivity of weighting, but enhance the extensibility, the model mentioned above has guiding significance and applied value for analyzing distributing the railway refrigeration container handling stations.
机译：铁路冷藏集装箱装卸站的分布受多种因素的影响，例如技术和设备条件，联运能力，区域的前景和社会经济条件。本文首先将物元法与信息熵理论相结合，根据相关文献和历史数据对铁路冷藏集装箱装卸站的分布进行分析，并建立了分析铁路分布的多目标决策模型。基于物元和扩展模型建立了冷藏集装箱装卸站。在建立主场和受控场的基础上，应用物元和扩展集的关联函数得到铁路冷藏集装箱装卸站的关联函数值。最后，通过算例分析并与传统分析方法进行比较，验证了该模型的有效性，客观性和适用性。实际应用表明，该方法可避免加权的主观性，但可扩展性强，模型对铁路冷藏集装箱装卸站的分布分析具有指导意义和应用价值。

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