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Most of the existing consensus reaching approaches for group decision-making (GDM) need decisionmakers to reevaluate alternatives multiple times or require additional external interventions, which results in great time and labor consumption. To this end, automatic consensus reaching approaches have been developed to improve effectiveness and efficiency. However, in the existing automatic consensus reaching approaches, preference adjustment willingness (PAW) is overlooked and consistency/consensus thresholds cannot be guaranteed to be reached, which may lead to an unacceptable collective decision. This study proposes a new automatic consensus reaching approach with PAW for GDM. First, under the paradigm of interval information granularity, PAW is formally defined by considering both the amount and sensitivity of preference adjustment. Levels of interval information granularity are adaptively …