An analysis of symbolic linguistic computing models in decision making

It is common that experts involved in complex decision real world problems use natural language for expressing their knowledge in uncertain frameworks. The language is inherent vague, hence probabilistic decision models are not very suitable in such cases. Therefore, other tools as fuzzy logic and fuzzy linguistic approach have been successfully used to model and manage such vagueness. The use of linguistic information implies to operate with such a type of information, i.e., processes of Computing with Words (CWW). Different schemes have been proposed to deal with those processes, and diverse symbolic linguistic computing models have been introduced to accomplish the linguistic computations. In this paper we overview the relationship between decision making and computing with words, and focus on symbolic linguistic computing models that have been widely used in linguistic decision making to analyze if all of them can be considered inside of the CWW paradigm.