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

Abstract

Abstract: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 type-2 fuzzy sets). Some potential new research directions on fuzzy group decision making are suggested.

Development and implementation of clinical guidelines: An artificial intelligence perspective

“…Group decision is a common phenomenon in human decision making activities. It is an arduous task because it implies the aggregation of individual alternatives to yield a decision that is acceptable to the group as a whole (John et al 2008). The group explores a number of alternative solutions, answering what-if questions and the participants may have different roles in the decision process, according to preestablished criteria by the organization.…”