A Comparative Analysis of Symbolic Linguistic Computational Models

There are many situations in which problems deal with vague and imprecise information. In such cases, the information could be modelled by means of numbers, however, it doesn't seem logical to model imprecise information in a precise way. Therefore, the use of linguistic modelling have been used with successful results in these problems. The use of linguistic information involves the need of carrying out processes which operate with words, so called Computing with Words (CW). In the literature exists different linguistic approaches and different computational models. We focus in this contribution on the use of the fuzzy linguistic approach (FLA) to model vague and imprecise information, but more specifically we focus on their computational models paying more attention on different symbolic computational models that have been defined to deal with linguistic information. We are going to review their main features and make a comparative analysis among them.