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.
Rezensionen / Stimmen
"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)
Reihe
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Illustrationen
33
10 s/w Abbildungen, 33 farbige Abbildungen
XIX, 118 p. 43 illus., 33 illus. in color.
Dateigröße
ISBN-13
978-3-030-01027-0 (9783030010270)
DOI
10.1007/978-3-030-01027-0
Schweitzer Klassifikation
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.
