Large-Scale Group Decision-Making with Uncertain and Behavioral Considerations

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.

Introduction.- Uncertain Theory and Social Network Analysis.- Interval Type-2 Fuzzy Multi-criteria Decision-making.- Large-scale Group Decision-making with Uncertain Preferences.- Large-scale Group Decision-making with Social Relationships.- Consensus Study Considering Trust Relationships.- Consensus Evolution Networks.- Consensus Reaching Process in Large-scale Group decision-making.- Application of LSGDM Methods in Group Recommendation.- Concluding Remarks.