An adaptive module for the consensus reaching process in group decision making problems

Authors:
Enrique Herrera-Viedma;Francisco Mata;Luis Martínez;Luis G. Pérez
Affiliations:
Dept. of Computer Science and A.I., University of Granada, Granada, Spain;Dept. of Computer Science, University of Jaén, Jaén, Spain;Dept. of Computer Science, University of Jaén, Jaén, Spain;Dept. of Computer Science, University of Jaén, Jaén, Spain
Venue:
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
Year:
2005

Citing 6
Cited 2

Group decision making and consensus under fuzzy preferences and fuzzy majority

Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
Group decision-making and the analytic hierarchy process: exploring the consensus-relevant information content

Computers and Operations Research
A rational consensus model in group decision making using linguistic assessments

Fuzzy Sets and Systems
Decision Support Systems

Decision Support Systems
A consensus model for multiperson decision making with different preference structures

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A Consensus Support System Model for Group Decision-Making Problems With Multigranular Linguistic Preference Relations

IEEE Transactions on Fuzzy Systems

Group Decision Making: From Consistency to Consensus

MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Group decision making in multiagent systems with abduction

The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the group decision making (GDM) framework we deal with decision problems where several decision makers try to achieve a common solution about a problem. In the literature, we can find two processes to carry out before obtaining a final solution: the consensus process and the selection one. The consensus process is a discussion process where the experts change their opinions in order to achieve a high agreement. The selection process searches the solution. The consensus reaching process is a very important task for GDM problems regarding the necessity that the solution achieved will be assumed and shared by all experts involved in the GDM problem. It consists of several consensus rounds where the experts discuss and change their opinions in order to improve the level of agreement among them. In this paper, we propose an optimization of the consensus reaching process in GDM problems by means of an adaptive module that applies different procedures to identify the experts' opinions that should be changed according to the level of agreement in each consensus round. Usually at the beginning the agreement is low, so the adaptive module will suggest to many experts to change their opinions. However, after several rounds, the agreement will be higher and hence the number of the changes will be smaller.