3.9 Article

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

出版社

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/IJICC-08-2019-0091

关键词

Failure mode and effects analysis; Emergency; MULTIMOORA; Interval-valued Pythagorean fuzzy sets; Risk management

资金

  1. National Key R&D Program of China [2018YFC0406905]
  2. MOE (Ministry of Education in China) Project of Humanities and Social Sciences [19YJC630078]
  3. Youth Talents Teachers Scheme of Henan Province Universities [2018GGJS080]
  4. National Natural Science Foundation of China [71974056, 71302191]
  5. China Scholarship Council [201908410388]
  6. 2018 Henan Province Water Conservancy Science and Technology Project [GG201828]
  7. Foundation for Distinguished Young Talents in Higher Education of Henan (Humanities & Social Sciences), China [2017-cxrc-023]

向作者/读者索取更多资源

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.

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