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A novel approach to emergency risk assessment using FMEA with extended MULTIMOORA method under interval-valued Pythagorean fuzzy environment

Huimin Li (Department of Construction Engineering and Management, North China University of Water Resources and Electric Power, Zhengzhou, China) (School of Architecture and Built Environment, Centre for Asian and Middle Eastern Architecture, University of Adelaide, Adelaide, South Australia)
Lelin Lv (Department of Construction Engineering and Management, North China University of Water Resources and Electric Power, Zhengzhou, China)
Feng Li (Department of Construction Engineering and Management, North China University of Water Resources and Electric Power, Zhengzhou, China)
Lunyan Wang (Department of Construction Engineering and Management, North China University of Water Resources and Electric Power, Zhengzhou, China)
Qing Xia (Department of Construction Engineering and Management, North China University of Water Resources and Electric Power, Zhengzhou, China)

International Journal of Intelligent Computing and Cybernetics

ISSN: 1756-378X

Article publication date: 17 April 2020

Issue publication date: 5 May 2020

289

Abstract

Purpose

The application of the traditional failure mode and effects analysis (FMEA) technique has been widely questioned in evaluation information, risk factor weights and robustness of results. This paper develops a novel FMEA framework with extended MULTIMOORA method under interval-valued Pythagorean fuzzy environment to solve these problems.

Design/methodology/approach

This paper introduces innovatively interval-value Pythagorean fuzzy weighted averaging (IVPFWA) operator, Tchebycheff metric distance and interval-value Pythagorean fuzzy weighted geometric (IVPFWG) operator into the MULTIMOORA submethods to obtain the risk ranking order for emergencies. Finally, an illustrative case is provided to demonstrate the practicality and feasibility of the novel fuzzy FMEA framework.

Findings

The feasibility and validity of the proposed method are verified by comparing with the existing methods. The calculation results indicate that the proposed method is more consistent with the actual situation of project and has more reference value.

Practical implications

The research results can provide supporting information for risk management decisions and offer decision-making basis for formulation of the follow-up emergency control and disposal scheme, which has certain guiding significance for the practical popularization and application of risk management strategies in the infrastructure projects.

Originality/value

A novel approach using FMEA with extended MULTIMOORA method is developed under IVPF environment, which considers weights of risk factors and experts. The method proposed has significantly improved the integrity of information in expert evaluation and the robustness of results.

Keywords

Acknowledgements

The authors acknowledge with gratitude National Key R&D Program of China (No. 2018YFC0406905), the MOE (Ministry of Education in China) Project of Humanities and Social Sciences (No. 19YJC630078), Youth Talents Teachers Scheme of Henan Province Universities (No. 2018GGJS080), the National Natural Science Foundation of China (No. 71974056, No. 71302191), the Foundation for Distinguished Young Talents in Higher Education of Henan (Humanities & Social Sciences), China (No. 2017-cxrc-023), China Scholarship Council (No. 201908410388), 2018 Henan Province Water Conservancy Science and Technology Project (GG201828). This study would not have been possible without their financial support.Conflicts of Interest: The authors declare no conflict of interest.

Citation

Li, H., Lv, L., Li, F., Wang, L. and Xia, Q. (2020), "A novel approach to emergency risk assessment using FMEA with extended MULTIMOORA method under interval-valued Pythagorean fuzzy environment", International Journal of Intelligent Computing and Cybernetics, Vol. 13 No. 1, pp. 41-65. https://doi.org/10.1108/IJICC-08-2019-0091

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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