Large-Scale Group Decision-Making

Su-Min Yu is Assistant Professor, Distinguished Associate Research Fellow, and Master Supervisor at the College of Management, Shenzhen University. She is currently also a member of the Institute of Big Data Intelligent Management and Decision, Shenzhen University. She received her Ph.D. degree in Management from Central South University, Changsha, China, in 2018. Her research interests include electronic commerce, information management, decision theory and methods, large-scale group decision-making and consensus, big data decision, social network analysis, tourism management, etc. She has presided one project of National Natural Science Foundation. She has published 18 international journal papers in top journals and conference proceedings, including IEEE Transactions on Fuzzy Systems, Information Fusion, Information Sciences, Knowledge-Based Systems, Applied Soft Computing, Computers & Industrial Engineering, Group Decision and Negotiation, International Transactions in Operational Research, among others. Her h-index is 9 with more than 570 citations received in Google Scholar. A total of 4 articles were selected into ESI Global High Citation Paper Database, among which 2 articles were selected as hot papers. She serves as a reviewer in many top-tier international journals in related areas to fuzzy decision-making and group decision-making. Zhi-Jiao Du is a doctoral candidate at the Business School, Sun Yat-Sen University, China. He is an IEEE student member. He received his B.S. degree in Management from Hainan University, Haikou, China, in 2012, and his M.S. degree in Management from Central South University, Changsha, China, in 2016. He presided over a Special Fund Project of Science and Technology Innovation Cultivation for College Students in Guangdong (“Climbing Plan”). His research interests include supply chain management, decision theory and methods, large-scale group decision-making and consensus, social network analysis, etc. At present, he has published 14 academic articles in top journals and conference proceedings, including Decision Support Systems, IEEE Transactions on Fuzzy Systems, Information Fusion, Information Sciences, Knowledge-Based Systems, Computers & Industrial Engineering, Group Decision and Negotiation, among others. One of the articles was selected into ESI Global Database of Highly Cited Papers in Computer Science. His h-index is 7 with more than 340 citations received in Google Scholar. He serves as a reviewer in many top-tier international journals in related areas to large-scale group decision-making, supply chain management.

Chapter 1. Introduction.- Chapter 2. Preliminary Knowledge.- Chapter 3. Trust-Similarity Analysis-Based Clustering Method.- Chapter 4. Trust-Similarity Measure-Based Hierarchical Clustering Method.- Chapter 5. Hierarchical Punishment-Driven Consensus Model for Probabilistic Linguistic LSGDM.- Chapter 6. Confidence Consensus-Based Model for LSGDM.- Chapter 7. Integration of Independent and Supervised Consensus Models.- Chapter 8. Consensus Building: Coordination Between Trust Relationships and Opinion Similarity.- Chapter 9. Conclusions and Future Research Directions. 

“This book is a collection of the authors' most advanced published research on LSGDM topics. … The book is well-organized with the perfect content, nice formulas, brilliant figures and references on more than 180 papers.” (Rózsa Horváth-Bokor, zbMATH 1498.91002, 2022)