Large-Scale Group Decision-Making with Uncertain and Behavioral Considerations (eBook)

This book investigates in detail large-scale group decision-making (LSGDM) problem, which has gradually evolved from the traditional group decision-making problem and has attracted more and more attention in the age of big data. Pursuing a holistic approach, the book establishes a fundamental framework for LSGDM with uncertain and behavioral considerations. To address the behavioral uncertainty and complexity of large groups of decision-makers, this book mainly focuses on new solutions of LSGDM problems using the interval type-2 fuzzy uncertainty theory and social network analysis techniques, including the exploration of uncertain clustering analysis, the consideration of social relationships, especially trust relationships, the construction of consensus evolution networks, etc. The book is intended for researchers and postgraduates who are interested in complex group decision-making in the new media era. Authors also investigate the similar features between LSGDM problems and group recommendations to study the applications of LSGDM methods. After reading this book, readers will have a new understanding of the LSGDM study under the real complicated context.

 

Dr. Tong Wu received her B.Sc. degree in logistics management from Heze University, Heze, China, in 2013, and the M.Sc. and Ph.D. degree in management science and engineering from Southeast University, Nanjing, China, in 2016 and 2020, respectively. Since Sept. 2020, Dr. Wu has been in College of Economics and Management, Nanjing University of Aeronautics and Astronautics as a lecturer. 

Dr. Wu focuses on the research of uncertain group decision-making. Her recent research interests include: large-scale group decision making, social networks, recommender systems, and fuzzy decision making, etc. Since 2016, Dr. Wu has published 17 peer-reviewed technical papers in international journals and conferences. She is a member of IEEE and served as a reviewer of several international journals. 

Dr. Xinwang Liu received his B.Sc. degree in mathematics from Henan Normal University, Xinxiang, China, in 1991, and the M.Sc. and Ph.D. degrees in systems engineering from Southeast University, Nanjing, China, in 1996 and 1999, respectively. Dr. Liu is currently a Professor with the Department of Management Science and Engineering, School of Economics and Management, Southeast University. 

Dr. Liu focuses on the research of uncertain theory. His recent research interests include: type-2 fuzzy logic, aggregation operators, recommender systems, and fuzzy decision making, etc. He has authored or coauthored more than 100 publications of journals and international conferences. He is a member of IEEE and served as a reviewer of several international journals.

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This book investigates in detail large-scale group decision-making (LSGDM) problem, which has gradually evolved from the traditional group decision-making problem and has attracted more and more attention in the age of big data. Pursuing a holistic approach, the book establishes a fundamental framework for LSGDM with uncertain and behavioral considerations. To address the behavioral uncertainty and complexity of large groups of decision-makers, this book mainly focuses on new solutions of LSGDM problems using the interval type-2 fuzzy uncertainty theory and social network analysis techniques, including the exploration of uncertain clustering analysis, the consideration of social relationships, especially trust relationships, the construction of consensus evolution networks, etc. The book is intended for researchers and postgraduates who are interested in complex group decision-making in the new media era. Authors also investigate the similar features between LSGDM problems and group recommendations to study the applications of LSGDM methods. After reading this book, readers will have a new understanding of the LSGDM study under the real complicated context.