Group Decision Making Based on the Linguistic 2-Tuple Model in Heterogeneous Contexts

Lot of activities carried out in the enterprise implies Group Decision Making processes. In Group Decision Making is difficult that all experts have an exact knowledge about the problem. At the begining, Group Decision Making problems manage uncertainty with real values within a predefined range, soon interval valued approaches were proposed and more recently fuzzy-interval valued and linguistic approaches have obtained successfull results. In this paper, we shall deal with Group Decision Making problems in which the experts can express their knowledge over the alternatives using different types of information: numerical, interval valued, fuzzy-interval valued or the linguistic one, that is called Heterogeneous Information. The main problem to deal with heterogeneous information is: how to aggregate it?. The aim of the contribution is to develop an aggregation method able to combine all different types of information in the decision process. To do so, we shall use the the linguistic 2-tuple representation model.