Managing personalized individual semantics and consensus in linguistic distribution large-scale group decision making.

•Devise a framework to manage PIS and consensus in linguistic distribution LSGDM.•Build an optimization model to yield PIS-based numerical scales of linguistic terms.•Design a two-stage consensus model with minimum information loss for LSGDM.•Comparative analysis shows that our model has a good performance.