Large Group Decision Making
Creating Decision Support Approaches at Scale
Buch in deiner Nähe kaufen
Beschreibung
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.
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
Autor*in
Iván Palomares Carrascosa
Themen in »Large Group Decision Making«
Group Decision Making Multi-criteria Decision Making Consensus Reaching Processes Decision Support Systems Preference Modeling Aggregation Multi-Attribute Decision Making Consensus Information Fusion Information Systems Social Network Analysis Data Science Artificial Intelligence
Stimmen zu »Large Group Decision Making«
"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)
()