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Table of Contents
Intro; Contents; About the Author; List of Figures; List of Tables; 1 Introduction; 1.1 Motivation; 1.2 Who Should Read This Book and Why?; 1.3 Chapter Overview; 2 Group Decision Making and Consensual Processes; 2.1 Decision Making Under Uncertainty; 2.2 Group Decision Making (GDM) Problems; 2.3 Preference Modeling and Aggregation; 2.4 Consensus Building in GDM; 2.4.1 Overview of Consensus Measures; 2.4.2 Consensus Building Approaches; 2.4.3 A Step-by-Step Example of Consensus Model; 2.5 A Quick Overview of Multi-Criteria Decision Making Methods; 2.5.1 Analytic Hierarchy Process (AHP).
2.5.2 Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)3 Scaling Things Up: Large Group Decision Making (LGDM); 3.1 From Small to Large Decision Groups; 3.2 Limitations and Challenges; 3.3 Summary of Research Trends on LGDM; 3.4 Related Disciplines to LGDM; 3.4.1 Cognitive and Behavioral Science (Psychology); 3.4.2 Management and Social Sciences; 3.4.3 Data Science, Machine Learning and Artificial Intelligence; 4 LGDM Approaches and Models: A Literature Review; 4.1 Considerations and Organization of the Literature Review; 4.2 Subgroup Clustering.
4.2.1 Early Efforts on Subgroup Clustering in LGDM4.2.2 Clustering Methods for MCLGDM and Complex MCLGDM; 4.2.3 Clustering Large Groups in Emergency and Risk Situations; 4.2.4 Clustering Methods Under Fuzziness; 4.2.5 Other Notable Contributions to Subgroup Clustering in LGDM; 4.3 LGDM Methods; 4.3.1 Methods for Complex MCLGDM; 4.3.2 Aggregations Based on Mutual Assessment Support in LGDM; 4.3.3 LGDM Methods with Fuzzy Membership-Based Opinions; 4.3.4 Estimating Incomplete Assessment and Weight Information in LGDM; 4.3.5 LGDM with Linguistic Distribution Assessments.
4.3.6 LGDM with Double Hierarchy Hesitant Fuzzy Linguistic Information4.4 Consensus in LGDM; 4.4.1 Semi-supervised Consensus Support Approaches; 4.4.2 Consensus in Emergency LGDM; 4.4.3 Consensus Building Under Social Data and Opinion Dynamics; 4.4.4 Consensus for 2-Rank LGDM Problems; 4.4.5 Consensus on Individual Concerns and Satisfactions; 4.4.6 Consensus and Consistency Under Linguistic Information and Anonymity Preservation; 4.4.7 Consensus with Changeable Subgroups of Participants; 4.4.8 Exploring Classical Consensus Models in LGDM; 4.5 Behavior Modeling and Management.
4.5.1 Detecting and Penalizing Uncooperative Behaviors in CRPs4.5.2 Managing Minority Opinions and Uncooperative Behaviors; 4.5.3 Self-management and Mutual Evaluation Mechanisms for Behavior Management; 4.5.4 Analyzing Diverse Behavioral Styles; 4.6 Theory and Interdisciplinary Approaches; 5 Implementations and Real-World Applications of LGDM Research; 5.1 Large Group Decision Support Systems; 5.1.1 Social LGDSS; 5.1.2 LaSca; 5.1.3 MENTOR; 5.1.4 Web Tool for Emergency LGDM; 5.1.5 COMAS (COnsensus Multi-Agent System); 5.1.6 Multi-Agent System for Scalable GDM.
2.5.2 Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)3 Scaling Things Up: Large Group Decision Making (LGDM); 3.1 From Small to Large Decision Groups; 3.2 Limitations and Challenges; 3.3 Summary of Research Trends on LGDM; 3.4 Related Disciplines to LGDM; 3.4.1 Cognitive and Behavioral Science (Psychology); 3.4.2 Management and Social Sciences; 3.4.3 Data Science, Machine Learning and Artificial Intelligence; 4 LGDM Approaches and Models: A Literature Review; 4.1 Considerations and Organization of the Literature Review; 4.2 Subgroup Clustering.
4.2.1 Early Efforts on Subgroup Clustering in LGDM4.2.2 Clustering Methods for MCLGDM and Complex MCLGDM; 4.2.3 Clustering Large Groups in Emergency and Risk Situations; 4.2.4 Clustering Methods Under Fuzziness; 4.2.5 Other Notable Contributions to Subgroup Clustering in LGDM; 4.3 LGDM Methods; 4.3.1 Methods for Complex MCLGDM; 4.3.2 Aggregations Based on Mutual Assessment Support in LGDM; 4.3.3 LGDM Methods with Fuzzy Membership-Based Opinions; 4.3.4 Estimating Incomplete Assessment and Weight Information in LGDM; 4.3.5 LGDM with Linguistic Distribution Assessments.
4.3.6 LGDM with Double Hierarchy Hesitant Fuzzy Linguistic Information4.4 Consensus in LGDM; 4.4.1 Semi-supervised Consensus Support Approaches; 4.4.2 Consensus in Emergency LGDM; 4.4.3 Consensus Building Under Social Data and Opinion Dynamics; 4.4.4 Consensus for 2-Rank LGDM Problems; 4.4.5 Consensus on Individual Concerns and Satisfactions; 4.4.6 Consensus and Consistency Under Linguistic Information and Anonymity Preservation; 4.4.7 Consensus with Changeable Subgroups of Participants; 4.4.8 Exploring Classical Consensus Models in LGDM; 4.5 Behavior Modeling and Management.
4.5.1 Detecting and Penalizing Uncooperative Behaviors in CRPs4.5.2 Managing Minority Opinions and Uncooperative Behaviors; 4.5.3 Self-management and Mutual Evaluation Mechanisms for Behavior Management; 4.5.4 Analyzing Diverse Behavioral Styles; 4.6 Theory and Interdisciplinary Approaches; 5 Implementations and Real-World Applications of LGDM Research; 5.1 Large Group Decision Support Systems; 5.1.1 Social LGDSS; 5.1.2 LaSca; 5.1.3 MENTOR; 5.1.4 Web Tool for Emergency LGDM; 5.1.5 COMAS (COnsensus Multi-Agent System); 5.1.6 Multi-Agent System for Scalable GDM.