Aggregation of group fuzzy risk information in the railway risk decision making process

An, M ORCID: https://orcid.org/0000-0002-1069-7492, Qin, Y, Jia, L and Chen, Y 2016, 'Aggregation of group fuzzy risk information in the railway risk decision making process' , Safety Science, 82 , pp. 18-28.

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Abstract

Railway risk assessment is a hierarchical process where risk information obtained at lower levels may be used for risk assessment at higher levels. Fuzzy analytical hierarchy process (FAHP) is widely used in risk decision making process to solve imprecise hierarchical problems where the risk data are incomplete or there is a high level of uncertainty involved in the risk data, particularly, in the process of railway safety and risk decision making. However, the application of FAHP in risk decision making the risk analysts often face the circumstances where a large number of pairwise comparison matrices have to be established by expert knowledge and engineering judgements. There may be a lack of confidence that all comparisons associated with a railway system are completely justified in a rigorous way. This is particularly true when a complex railway system needs to be analysed or when subjective judgements should be involved. This paper presents a modified FAHP approach that employs fuzzy multiplicative consistency method for the establishment of pairwise comparison matrices in risk decision making analysis. The use of the proposed method yields a higher level of confidence that all of comparisons associated with the system are justified. In the meanwhile, the workload in determining the consistency of the judgements can be reduced significantly. A case example is used to demonstrate the proposed methodology. The results indicate that by using the proposed method, risks associated with a railway system can be assessed effectively and efficiently, and more reliable and accurate results can be obtained.

Item Type: Article
Schools: Schools > School of the Built Environment
Journal or Publication Title: Safety Science
Publisher: Elsevier
ISSN: 0925-7535
Related URLs:
Funders: Engineering and Physical Sciences Research Council (EPSRC), London Underground Ltd, The State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University
Depositing User: Professor Min An
Date Deposited: 17 May 2018 08:10
Last Modified: 29 Mar 2019 10:15
URI: http://usir.salford.ac.uk/id/eprint/47031

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