Luis Martínez López
University of Jaén, Jaén, Spain
Abstract: Consensus reaching processes play an increasingly important role in the resolution of group decision making problems: a solution acceptable to all the experts participating in a problem is necessary in many real-life contexts. A large number of consensus approaches have been proposed to support groups in such processes, each one with its own characteristics, such as the methods utilized for the fusion of information regarding the preferences of experts. Given this variety of existing approaches in the literature to support consensus reaching processes, this talk considers two main objectives.
Firstly, it is revised and introduced a taxonomy that provides an overview and categorization of some existing consensus models for group decision making problems defined in a fuzzy context, taking into account the main features of each model.
Secondly, taking into account that classical models focus on solving group decision making problems where few decision makers participate, but nowadays, societal and technological trends that demand the management of larger scales of decision makers, such as e-democracy and social networks, add a new requirements to the solution of consensus-based group decision making problems, such as:
- The development of agent based models to deal with many decision makers.
- Increase the convergence of the consensus process keeping decision makers sovereign.
- Mechanisms to detect decision makers’ non-cooperative behaviours in consensus, which might bias the consensus reaching process.
- And monitoring tools to evaluate easily the evolution of the consensus process.