Date: October 14, 2021
Time: 13:00 pm
Venue: Room 0218, Teaching Building 0#, Jiuli Campus
Event Details:
Lecturer: Professor LIU Dun
About the Lecturer:
Liu Dun, professor and doctoral supervisor at Southwest Jiaotong University, postdoctoral fellow at Tsinghua University, visiting scholar at Carnegie Mellon University in the United States and Regina University in Canada, winner of "Yang Hua Scholar", "Young Eagle Scholar" and Tang Lixin Outstanding Scholar Award at Southwest Jiaotong University. He is also the member of the Standing Committee of the Granular Computing and Knowledge Discovery Committee of the Chinese Society of Artificial Intelligence, director of the Intelligent Decision and Game Branch of the Chinese Society of Optimal Planning and Economic Mathematics, and director of the Sichuan Association of Artificial Intelligence. He presides over three National Natural Science Foundation of China, published two monographs and more than 150 academic papers in IEEE TFS, IEEE TSMCS, INS, IJAR, KBS, EWSA, ANOR, FODM, CAIE, IJFS and other domestic and foreign journals and journals, including more than 50 papers retrieved by SCI, 3 papers indexed by ESI hot papers, 14 papers indexed by ESI highly cited papers. His papers were cited more than 4,300 times by Google Scholar, and the H-index was 37. He Serves as an editorial board member of "International Journal of Rough Sets and Data Analysis", an assistant editorial board member of CAAI journal "Journal of Intelligent Systems", and a reviewer for more than 40 international SCI/SSCI journals.
About the Lecture:
This report first starts from the three historical development stages of the three decision-making, and introduces the development trace and evolution process of the three decision-making through two aspects of rough set and granular computing; secondly, it introduces the three uncertainties from a management perspective decision theory and methods; Finally, the methods and applications of three decision-making in the field of granular computing and recommendation systems are introduced from the perspective of information.
