Work

Factors Affecting Evaluation of Railway Bulk Freight Rate: A Novel Cloud Theory-Based Approach

Year: 2022

Type: article

Abstract: Railway freight rates are seen as a key driving factor of global trade activities, influenced by numerous factors. Given the limitations of fuzziness and randomness of variable quantification in the previous studies, this paper proposes a cognitive cloud model of factors influencing railway bulk goods freight rates. In the cognitive cloud model, randomness and fuzziness are described by three parameters. Furthermore, a cloud generator including forwarding and backward cloud generators is designed to solve the bidirectional conversion between qualitative indicators and quantitative values. In addition, we propose a floating cloud gathering algorithm to determine the weight of the index system to solve the uncertainty problem in the transformation process of qualitative indicators. Finally, the cognitive cloud model and the adapted algorithm are used to perform an in-depth analysis of the affecting factors of Z Railway Bureau freight transport pricing.

Source: Journal of Advanced Transportation

DOI: 10.1155/2022/1568449

Authors: Jingwei Guo, Yimin Wang, Yang Qin, Qinglin Li, Zhongqi Xie, Xin Qin

Institutions: Henan University of Urban Construction, Henan Polytechnic University, Luoyang Polytechnic, Chang'an University

Language: English

Topic: Advanced Decision-Making Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,760