Large Group Decision Making Creating Decision Support Approaches at Scale /

• Main Author: Palomares Carrascosa, Iván (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs in Computer Science,
• Subjects: Artificial intelligence.; Management information systems.; Computer science.; Big data.; Artificial Intelligence.; Management of Computing and Information Systems.; Big Data.
• Physical Description: XIX, 118 p. 43 illus., 33 illus. in color. online resource.
• ISBN: 9783030010270
• ISSN: 2191-5768
• DOI: 10.1007/978-3-030-01027-0

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.