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Evaluation Method of Public Transportation System Based on Fuzzy Cloud Model

机译：基于模糊云模型的公交系统评价方法

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This article describes how the public traffic system evaluation is an important measure to strengthen the management of urban transportation. Many scholars have evaluated the public transportation system, but lack research on different index weights of it. In past models, although the fuzzy assessment method was integrated into an evaluation methodology, its randomness was reflected unclearly. To solve the problems, a fuzzy evaluation of a cloud model is researched. Firstly, the corresponding weights of all indexes are calculated by analytic hierarchy process (AHP) and a clustering method. Then, the principal component of the indexes is extracted by the principal component analysis. According to the distribution of a principal component and processed with the cloud model, a subordinate degree function was established. Finally, scoring cities by combining the principal component weight and membership cloud matrix and evaluating the public transportation system. Comparing the matter-element analysis and the AHP gray model method, this proposed model in this article can evaluate the performance of different urban traffic systems more practically.
机译：本文介绍了公共交通系统评估是如何加强城市交通管理的重要措施。许多学者已经对公共交通系统进行了评估，但是缺乏对其不同指标权重的研究。在过去的模型中，尽管将模糊评估方法集成到评估方法中，但其随机性并未得到清晰体现。为了解决这些问题，研究了云模型的模糊评估。首先，采用层次分析法和聚类法计算各指标的权重。然后，通过主成分分析来提取索引的主成分。根据主成分的分布并用云模型进行处理，建立了隶属度函数。最后，结合主成分权重和隶属度云矩阵并评估公共交通系统，对城市进行评分。通过将物元分析法与AHP灰色模型法进行比较，本文提出的模型可以更实际地评估不同城市交通系统的性能。

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