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

被引:55
作者
Li Huimin [1 ,2 ]
Lv Lelin [1 ]
Li Feng [1 ]
Wang Lunyan [1 ]
Xia Qing [1 ]
机构
[1] North China Univ Water Resources & Elect Power, Dept Construct Engn & Management, Zhengzhou, Peoples R China
[2] Univ Adelaide, Sch Architecture & Built Environm, Ctr Asian & Middle Eastern Architecture, Adelaide, SA, Australia
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Failure mode and effects analysis; Emergency; MULTIMOORA; Interval-valued Pythagorean fuzzy sets; Risk management; MULTIATTRIBUTE DECISION-MAKING; FAILURE MODE; D NUMBERS; TOPSIS; MANAGEMENT; SYSTEM; SETS;
D O I
10.1108/IJICC-08-2019-0091
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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. 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.
引用
收藏
页码:41 / 65
页数:25
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