The 2-tuple linguistic computational model. Advantages of its linguistic description, accuracy and consistency.

The Fuzzy Linguistic Approach has been applied successfully to different ar eas. The use of linguistic information for modelling expert preferences imp lies the use of processes of Computing with Words. To accomplish these proc esses different approaches has been proposed in the literature: (i) Computa tional model based on the Extension Principle, (H) the symbolic one(also ca lled ordinal approach), and (iii) the 2-tuple linguistic computational mode l. The main problem of the classical approaches, (i) and (ii), is the loss of information and lack of precision during the computational processes. In this paper, we want to compare the linguistic description, accuracy and co nsistency of the results obtained using each model over the rest ones. To d o so, we shall solve a Multiexpert Multicriteria Decision-Making problem de fined in a multigranularity linguistic context using the different computat ional approaches. This comparison helps us to decide what model is more ade quated for computing with words.