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Failure mode and effect analysis (FMEA) is one of the most powerful pre-accident risk management techniques and has been extensively used in various fields. Nevertheless, consensus issues and incomplete assessment information are rarely investigated in the current FMEA method. This paper integrates a consensus-reaching mechanism into the FMEA framework and adopts incomplete linguistic distribution assessments to represent risk assessment information. In the constructed FMEA framework, a deviation minimum-based optimization model is presented to manage incomplete assessment information, and this model aims to minimize the opinion deviation among FMEA members. Then, a consensus-reaching model with a novel feedback adjustment mechanism is proposed to assist FMEA members to gain a consensus. The novel feedback adjustment mechanism is based on a natural assumption that …