Overview
- 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
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Reviews
"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)
Authors and Affiliations
Bibliographic Information
Book Title: Large Group Decision Making
Book Subtitle: Creating Decision Support Approaches at Scale
Authors: Iván Palomares Carrascosa
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-030-01027-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s), under exclusive licence to Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-01026-3Published: 09 November 2018
eBook ISBN: 978-3-030-01027-0Published: 31 October 2018
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XIX, 118
Number of Illustrations: 10 b/w illustrations, 33 illustrations in colour
Topics: Artificial Intelligence, Management of Computing and Information Systems, Big Data