In linguistic decision making, decision makers may elicit different structures of preferences, i.e., linguistic representations with heterogeous information or multi-granularity information, for the representation of preference information. And this will cause the need: how to unify the heterogeneous preferences from decision makers. This chapter presents a general framework for the transformation and unification of distributed linguistic representations, and the transformation methodology including transformation models and multi-granular transformation functions are designed.