Affiliations: [a] College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan, China
| [b] Department of Engineering Management, School of Civil Engineering, Wuhan University, Wuhan, China
| [c] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, Sichuan, China
| [d] Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon Tong, Hong Kong, China
| [e] Department of Computer Science, University of Jaén, Jaén, Spain
Correspondence:
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Corresponding author. Zhen-Song Chen, Department of Engineering Management, School of Civil Engineering, Wuhan University, Wuhan 430072, China. E-mail: [email protected].
Abstract: The need of quick and comfortable public transportation in our societies makes that many countries are planning to develop a high-speed railway network for improving their passenger transport capacity. Such a development implies among other problems how to select the location of high-speed railway station (HSRS) in each city along the line? Thus, this paper introduces an integrated approach for solving the site selection problem of HSRS, which consists of a consensus reaching process (CRP) with a group decision making (GDM) method whose inputs are trapezoidal fuzzy neutrosophic set to model experts’ assessments of potential locations of HSRS. To accomplish the decision process, the inputs should be weighted and aggregated with novel trapezoidal fuzzy neutrosophic prioritized aggregation operators to reflect the priority relationship between the aggregated information. The necessity of polishing conflicts in these decisions lead then to improve the experts’ agreement in the group, in our case, three consensus indexes at different levels are defined to implement the CRP. Eventually, the proposed CRP-GDM approach is put forward to solve the site selection issue of HSRS and a case of study is presented to illustrate its applications and advantages.
