摘要：In this paper, a new fuzzy group decision making (FGDM) model based on alpha-level sets, is proposed to generate, more accurate fuzzy using, risk priority numbers (RPNs) and ensure to be robust against the uncertainty. This model allows decision makers (DMs) to evaluate FMEA risk factors using linguistic terms rather than precise numerical values, allows them to express their opinions independently. A case study is investigated using the proposed model to illustrate its applications in RPN assessment.
关键词：Fuzzy decision making; alpha-cut; Failure mode and effects analysis
