JACIII Vol.12 No.5 pp. 416-421
doi: 10.20965/jaciii.2008.p0416


Favoring Consensus and Penalizing Disagreement in Group Decision Making

José Luis García-Lapresta

PRESAD Research Group, Dep. of Applied Economics, University of Valladolid
Avda. Valle de Esgueva 6, 47011 Valladolid, Spain

October 10, 2007
February 15, 2008
September 20, 2008
group decision making, consensus, aggregation operators, metrics

In this paper we introduce a multi-stage decision making procedure where decision makers’ opinions are weighted by their contribution to the agreement after they sort alternatives into a fixed finite scale given by linguistic categories, each one having an associated numerical score. We add scores obtained for each alternative using an aggregation operator. Based on distances among vectors of individual and collective scores, we assign an index to decision makers showing their contributions to the agreement. Opinions of negative contributors are excluded and the process is reinitiated until all decision makers contribute positively to the agreement. To obtain the final collective weak order on the set of alternatives, we weigh the scores that decision makers assign to alternatives by indices corresponding to their contribution to the agreement.

Cite this article as:
José Luis García-Lapresta, “Favoring Consensus and Penalizing Disagreement in Group Decision Making,” J. Adv. Comput. Intell. Intell. Inform., Vol.12, No.5, pp. 416-421, 2008.
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