Time: Tuesday, December 14, 9:00 am
Tencent Conference Number: 328-235-762
Speaker: Professor Wu Jian, Shanghai Maritime University
Speaker Profile.
Prof. Wu Jian, Distinguished Professor of Shanghai Maritime University's "Voyage Plan", PhD supervisor. He is also the Vice-Chairman of China (Bi-Fa) Intelligent Decision Making and Gaming Chapter, and is listed in the "Top 2% of Global Scientists" by Stanford University. His research interests include social networks and group decision making. He is currently an Associate Editor of the international journal Computers & Industrial Engineering. He has hosted three National Natural Science Foundation of China projects and five provincial and ministerial level projects. He has published 80 papers in international journals such as IEEE Transactions on Cybernetic, IEEE Transactions on Systems, Man and Cybernetics: Systems and IEEE Transactions on Fuzzy Systems. He has been awarded the Natural Science and Technology Award of Zhejiang Province and the Emerald Citations of Excellence for 2017.
Brief description of the report.
Group consensus strategies investigate how individual preferences are aggregated into group preferences and are one of the keys to achieving group satisfaction. Traditional group consensus uses a static method to aggregate user preferences, without considering the interaction between group members, and cannot improve group satisfaction and the degree of accuracy of recommendations. With the development of social media such as microblogs, there are interactive behaviours between group members and a certain level of social network trust relationship is generated. This report introduces social network trust and group interaction decision-making into the study of group consensus integration problems, and uses social network analysis, group interaction decision-making and information fusion as methods and tools to study in depth the user trust line in the group consensus process and its influence mechanism on group consensus reaching. It mainly includes trust-based feedback mechanism and anti-manipulation mechanism.
Organised by: Department of Management Engineering, Research and Academic Exchange Centre
