A consensus model for multiperson decision making with different preference structures

In this paper, we present a consensus model for multiperson decision making problems with different preference structures based on two consensus criteria: firstly, we define a consensus measure which indicates the agreement between experts’ opinions and, secondly, we define a measure of proximity to find out how far the individual solutions are from the collective solution. The first one is used to guide the consensus process and to validate the final solution while the second one is used to guide the discussion phases of the consensus process. Using this proximity measure we define a feedback mechanism to guide the discussion phases. This feedback mechanism is based on simple and easy rules to help experts change their opinions in order to obtain a highest possible degree of consensus.