Large Group Decision Making [electronic resource] : Creating Decision Support Approaches at Scale / by Iván Palomares Carrascosa.
Tipo de material: TextoSeries SpringerBriefs in Computer ScienceEditor: Cham : Springer International Publishing : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: XIX, 118 p. 43 illus., 33 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783030010270Tema(s): Artificial intelligence | Management information systems | Computer science | Big data | Artificial Intelligence | Management of Computing and Information Systems | Big DataFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Acceso multiusuario
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.
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.
UABC ; Temporal ; 01/01/2021-12/31/2023.