Large Group Decision Making
Creating Decision Support Approaches at Scale
Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Business & Finance, Industries & Professions, Information Management, General Computing
| Author: | Iván Palomares Carrascosa | ISBN: | 9783030010270 |
| Publisher: | Springer International Publishing | Publication: | October 31, 2018 |
| Imprint: | Springer | Language: | English |
| Author: | Iván Palomares Carrascosa |
| ISBN: | 9783030010270 |
| Publisher: | Springer International Publishing |
| Publication: | October 31, 2018 |
| Imprint: | Springer |
| Language: | English |
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.
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.
