| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 383664 | Expert Systems with Applications | 2012 | 9 Pages |
Sometimes, we find decision situations in which it is difficult to express some preferences by means of concrete preference degrees. In this paper, we present a consensus model for group decision making problems in which the experts use linguistic interval fuzzy preference relations to represent their preferences. This model is based on two consensus criteria, a consensus measure and a proximity measure, and on the concept of coincidence among preferences. We compute both consensus criteria in the three representation levels of a preference relation and design an automatic feedback mechanism to guide experts in the consensus reaching process.
► The consensus is a hot topic in the current research on fuzzy group decision making. ► We present a new consensus model to deal with group decision making problems in a new fuzzy linguistic context. ► We assume that the experts express their preferences by means of the linguistic interval fuzzy preference relations which is a new framework to develop consensus models. ► We provide a new consensus model that allows to automate the moderator’s actions in the consensus reaching processes in order to achieve a high agreement between the experts.
