… for numerical and linguistic information. This operator combines linguistic values (assessed
in … It is based on two transformation methods between numerical and linguistic values, which …

… to follow in linguistic decision analysis, that is, the steps to follow for solving a decision making
problem under linguistic information. Usually, in all real-world decision making processes …

… , linguistic labels like “very fast”, “fast” and “slow” can be used. Therefore, how to make a
scientific decision with linguistic information is … proposed for dealing with linguistic information. …

… linguistic variable due to Zadeh.' We will present a general approach to aggregate such
linguistic representations to obtain (linguistic… best one (the optimal decision). Before going further …

… decision making contexts in which linguistic preference relations are used to provide the
evaluations of results. On the one hand, granulation of linguistic … with the linguistic information. …

… decision-making, where AI supposes a great help. In this paper, we present a methodology
in a decision-making problem where only linguistic information … Linguistic decision making …

… is a linguistic probability assessing the decision maker’s belief (in general sense) about
the value of a result which, in its turn is linguistically established. Let us assume the linguistic …

… making and has been widely used in applications including linguistic information fusion. …
define and specify the syntax and semantics of virtual linguistic terms (VLTs) in detail, and then …

… decision making problems with linguistic information, some new probabilistic decision making
methods … The aim of this paper is to develop some new decision making models by using …

… 1, an important issue of decision making with linguistic information is the granularities of …
to develop the decision making approaches under multi-granularity linguistic information. …