Layman’s abstract for Quality and Reliability Engineering International article on a Time-varying FMEA method based on interval-valued

Each week, we publish layman’s abstracts of new articles from our prestigious portfolio of journals in statistics. The aim is to highlight the latest research to a broader audience in an accessible format.
The article featured today is from Quality and Reliability Engineering International with the full article now available to read here.
Zhou, XChen, C Tian, HWang, LYang, ZYang, HTime-varying FMEA method based on interval-valued spherical fuzzy theoryQual Reliab Eng Int2021373713– 3729
This paper proposes a time-varying failure mode and effect analysis (FMEA) method based on interval-valued spherical fuzzy theory, which not only improves the limitations in evaluating, weighting, and ranking but also considers the effect of time change. The process of distinguishing time changes enables the FMEA to have dynamic recognition capability, enabling it to identify critical failure modes more accurately. In this method, the interval-valued spherical fuzzy theory is used to deal with the uncertainty of intuitionistic linguistic evaluations. The advantages of two traditional approaches are combined to improve the weight determined method. The risk factors are divided into subjective and objective types. In the subjective risk factors, the consistency of judgement is used as the acceptance standard. In the objective risk factors, intuitionistic linguistic evaluations are replaced by objective data, which reduces the subjective error from experts. The time-varying characteristics can be well reflected by using the objective data. Interval-valued spherical fuzzy exponential risk priority number (IVSFS-ERPN) is proposed as the criterion for measuring the priority of failure modes. The effectiveness of the proposed method is verified using an example of spindle. 
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