Automated Group Decision Support Systems Under Uncertainty: Trends and Future Research

In the real world, group decision making is one of the most significant and omnipresent human decision making activities. The central problem of group decision making is to develop “fair” methods for aggregating individual alternatives (options, variants, etc.) to yield a consensus decision that is most acceptable to the group as a whole. It has become a subject of intensive research due to its practical and academic significance. But group decision making is innately uncertain, so a promising framework of decision making in groups is to consider uncertainty measures in the processes of model construction, so as to achieve optimal solutions in terms of best degrees of consensus of final decisions. This paper aims to provide an in-depth overview of group decision making incorporating uncertainty from the perspective of fuzzy sets (including type-1 and type2 fuzzy sets). Some potential new research directions on fuzzy group decision making are suggested.