This SpringerBrief provides a pioneering, central point of reference for the interested reader in Large Group Decision Making trends such as consensus support, fusion and weighting of relevant decision information, subgroup clustering, behavior management, and implementation of decision support systems, among others. Based on the challenges and difficulties found in classical approaches to handle large decision groups, the principles, families of techniques, and newly related disciplines to Large-Group Decision Making (such as Data Science, Artificial Intelligence, Social Network Analysis, Opinion Dynamics, Behavioral and Cognitive Sciences), are discussed. Real-world applications and future directions of research on this novel topic are likewise highlighted.

Introduces group decision making and consensus Outlines the classical approaches for modeling and aggregating preferences, making collective decisions, and applying consensus reaching processes Examines the relevance of large group decision making in real-life collective decision situations Surveys the state-of-the-art research on diverse aspects of large group decision making and their implementations into large group decision support systems

Inhalt
1 Introduction.- 2 Group Decision Making and Consensual Processes.- 3 Scaling things up: Large Group Decision Making (LGDM).- 4 LGDM Approaches and Models: a Literature Review.- 5 Implementations and Real-World Applications of LGDM Research.- 6 Conclusions and Future Directions of Research.