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Über dieses Buch

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.



Chapter 1. Introduction

This chapter provides a concise introduction to the book, by explaining the motivation behind its elaboration and pointing out the need for a comprehensive text on the state, progress made and open questions revolving around large-group decision making research. Some notes are also provided for the potential readership of the book. The chapter finalizes with an outline of the book structure into chapters.
Iván Palomares Carrascosa

Chapter 2. Group Decision Making and Consensual Processes

This chapter introduces the basic concepts and ideas behind Group Decision Making (GDM) problems under uncertainty, highlighting its core underlying processes—aggregation of information and alternative(s) selection—and preference modeling approaches. Consensus building principles and its numerous related approaches to support accepted group decisions are then introduced in detail. Finally, given the frequent co-occurrence of decision scenarios involving both groups of participants and multiple evaluation criteria, the chapter concludes with an overview of classic Multi-Criteria Decision Making (MCDM) methods.
Jaime Solano Noriega

Chapter 3. Scaling Things Up: Large Group Decision Making (LGDM)

What is a Large Group Decision Making problem? What differentiates them from the conventional Group Decision Making problems and approaches introduced in the previous chapter, and what are the added complexities of supporting high-quality decisions to be made by large groups? The present chapter aims at introducing and contextualizing this relatively new area of research, highlighting its main limitations of challenges and discussing some of its newly related disciplines, as witnessed in recent research.
Iván Palomares Carrascosa

Chapter 4. LGDM Approaches and Models: A Literature Review

Once the foundations and main considerations for Large Group Decision Making have been set out, this chapter provides a comprehensive literature review of most of its related works in the scientific literature to date. The reviewed studies are categorized into subgroup clustering methods, Large Group Decision Making methods (for preference aggregation and weighting), consensus approaches, behavior management and modeling methodologies, and theory/interdisciplinary approaches.
Hengjie Zhang, Zhibin Wu

Chapter 5. Implementations and Real-World Applications of LGDM Research

Due to their rather practical nature, existing works on real-world implementations of Large Group Decision are summarized in this chapter, along with a brief overview of the real-world practical scenarios where many of the surveyed studies have been applied.
Iván Palomares Carrascosa

Chapter 6. Conclusions and Future Directions of Research

This chapter concludes the book by summarizing the main conclusions derived from the LGDM research advances and pending challenges to date. Some proposed directions for future research in this topic are finally highlighted.
Iván Palomares Carrascosa


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