Research on synthetic evaluation of regional inter-city rail transit network planning in urban clusters

被引：0
|
作者：
Liu P. [1 ,2 ]
机构：
[1] School of Traffic and Transportation Engineering, Tongji University
[2] School of Economics and Management, Guangxi Teachers Education University
来源：
Tiedao Xuebao/Journal of the China Railway Society | 2010年 / 32卷 / 05期
关键词：
Combination weighting; Fuzzy sets-entropy-gray system model; Inter-city rail transit network; Synthetic evaluation; Trapezoidal fuzzy function;
D O I：
10.3969/j.issn.1001-8360.2010.05.002
中图分类号：
学科分类号：
摘要：
The fuzzy sets-entropy-gray system theory combination evaluation model was set up in order to evaluate the regional inter-city rail transit network planning in the urban cluster. This new comprehensive evaluation model was based on fuzzy sets-entropy combination weights and the gray system theory. Firstly, this model used the trapezoidal fuzzy sets to determine the subjective weight of each index, and applied the entropy theory to determine the objective weight of each index. Secondly, this model adopted a linear weighting method to assemble the subjective and objective weights of each index and got the combination weight of each index. Finally, this model, through the application of the gray system theory, established a gray correlation model and standardized evaluation index values to calculate the gray relational coefficient and the gray relational degree. According to the gray relational degree, the best one of the regional inter-city rail transit network planning programs in the urban cluster is selected.
引用
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页码：7 / 12
页数：5
相关论文
共 7 条
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