An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context

Date
2009-04
Authors
Mata, F.
Martinez, L.
Herrera-Viedma, Enrique
Journal Title
Journal ISSN
ISSN
1063-6706
Volume Title
Publisher
IEEE
Peer reviewed
Abstract
Different consensus models for group decisionmaking (GDM) problems have been proposed in the literature. However, all of them consider the consensus reaching process a rigid or inflexible one because its behavior remains fixed in all rounds of the consensus process. The aim of this paper is to improve the consensus reaching process in GDM problems defined in multigranular linguistic contexts, i.e., by using linguistic term sets with different cardinality to represent experts’ preferences. To do that, we propose an adaptive consensus support system model for this type of decision-making problem, i.e., a process that adapts its behavior to the agreement achieved in each round. This adaptive model increases the convergence toward the consensus and, therefore, reduces the number of rounds to reach it.
Description
Keywords
Consensus, fuzzy preference relation, group decision making (GDM), linguistic modeling
Citation
Mata, F., Martinez, L. and Herrera-Viedma, E. (2009) An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context. IEEE Transactions on Fuzzy Systems, 17 (2), pp. 279-290
Research Institute