Group Decision Making: From Consistency to Consensus

Authors:
F. Chiclana;F. Mata;S. Alonso;E. Herrera-Viedma;L. Martínez
Affiliations:
Centre for Computational Intelligence, De Montfort University, Leicester LE1 9BH, UK;Department of Computer Science, University of Jaén, 23700 Jaén, Spain;Dept. of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain;Dept. of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain;Department of Computer Science, University of Jaén, 23700 Jaén, Spain
Venue:
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Year:
2007

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Abstract

In group decision making (GDM) processes, prior to the selection of the best alternative(s), it would be desirable that experts achieve a high degree of consensus or agreement between them. Due to the complexity of most decision making problems, individuals' preferences may not satisfy formal properties. Consistency is one of such properties, and it is associated with the transitivity property.Obviously, when carrying out a rational decision making, consistent information, i.e. information which does not imply any kind of contradiction, is more appropriate than information containing some contradictions. Therefore, in a GDM process, consistency should also be sought after.In this paper we present a consensus model for GDM problems that proceeds from consistency to consensus. This model includes a novel consistency reaching module based on consistency measures. In particular, the model generates advice on how experts should change their preferences in order to reach a solution with high consistency and consensus degrees.