In linguistic decision making, it is reasonable to assume that decision makers are individualized in understanding the meanings of words for the fact that words mean different things to different people. The personalized individual semantic (PIS) framework was designed on the foundation of the consistency-driven methodology with numerical scale functions  to model the semantic meaning of words. This chapter presents the PISs for distributed linguistic representations, and the PIS learning in distributed linguistic group decision making (GDM).