A new consensus model for group decision making using fuzzy linguistic preference relations with heterogeneous experts

2015 ◽  
Vol 30 (1) ◽  
pp. 171-182 ◽  
Author(s):  
Xiao-Xiong Zhang ◽  
Bing-Feng Ge ◽  
Jiang Jiang ◽  
Ke-Wei Yang
2007 ◽  
Vol 15 (5) ◽  
pp. 863-877 ◽  
Author(s):  
Enrique Herrera-Viedma ◽  
Sergio Alonso ◽  
Francisco Chiclana ◽  
Francisco Herrera

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.


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