scholarly journals A Consensus Model of Probabilistic Linguistic Preference Relations in Group Decision Making Based on Feedback Mechanism

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 148231-148244 ◽  
Author(s):  
Aijun Liu ◽  
Hongwei Qiu ◽  
Hui Lu ◽  
Xingru Guo
Author(s):  
J. M. TAPIA GARCÍA ◽  
M. J. DEL MORAL ◽  
M. A. MARTÍNEZ ◽  
E. HERRERA-VIEDMA

Interval fuzzy preference relations can be useful to express decision makers' preferences in group decision-making problems. Usually, we apply a selection process and a consensus process to solve a group decision situation. In this paper, we present a consensus model for group decision-making problems with interval fuzzy preference relations. This model is based on two consensus criteria, a consensus measure and a proximity measure, and also 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. We show an application example in social work.


2007 ◽  
Vol 15 (5) ◽  
pp. 863-877 ◽  
Author(s):  
Enrique Herrera-Viedma ◽  
Sergio Alonso ◽  
Francisco Chiclana ◽  
Francisco Herrera

Author(s):  
I. J. PEREZ ◽  
F. J. CABRERIZO ◽  
E. HERRERA-VIEDMA

The aim of this paper is to present a new mobile group decision making model to deal with heterogeneous information and changeable decision contexts. This model takes into account that experts have different backgrounds and knowledge levels, allowing to use different preference representations as fuzzy preference relations or linguistic preference relations with multigranular linguistic information. Furthermore, we allow to introduce some changes on the alternatives of the problem at every stage of the decision process. To do that: i) a mobile implementation is proposed to reduce the number of changes and ii) a mechanism to insert/remove alternatives is included in the model. Finally, our new decision model incorporates a feedback mechanism that sends recommendations to the experts in order to quickly obtain a high consensus level.


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