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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.
List of contents
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.
Summary
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.
Additional text
"The book is readable, fluid, and understandable. … I recommend this book for operations research analysts, people in decision making roles, politicians, as well as the larger public, even if they lack a background in mathematics.” (Thierry Edoh, Computing Reviews, October 16, 2019)
Report
"The book is readable, fluid, and understandable. ... I recommend this book for operations research analysts, people in decision making roles, politicians, as well as the larger public, even if they lack a background in mathematics." (Thierry Edoh, Computing Reviews, October 16, 2019)
