Large Group Decision Making: Creating Decision Support Approaches at Scale

✍ Scribed by Iván Palomares Carrascosa

Publisher: Springer International Publishing
Year: 2018
Tongue: English
Leaves: 130
Series: SpringerBriefs in Computer Science
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xix
Introduction (Iván Palomares Carrascosa)....Pages 1-4
Group Decision Making and Consensual Processes (Iván Palomares Carrascosa)....Pages 5-36
Scaling Things Up: Large Group Decision Making (LGDM) (Iván Palomares Carrascosa)....Pages 37-45
LGDM Approaches and Models: A Literature Review (Iván Palomares Carrascosa)....Pages 47-93
Implementations and Real-World Applications of LGDM Research (Iván Palomares Carrascosa)....Pages 95-103
Conclusions and Future Directions of Research (Iván Palomares Carrascosa)....Pages 105-108
Correction to: Large Group Decision Making (Iván Palomares Carrascosa)....Pages E1-E1
Back Matter ....Pages 109-118

✦ Subjects

Computer Science; Management of Computing and Information Systems; Big Data

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