In the report, Professor Xu Zeshui first introduced the relevant concepts, methods and application scenarios of system management and intelligent decision-making systems. Secondly, he discussed in detail how deep learning and fuzzy systems can be efficiently integrated, and conducted an in-depth analysis of the logical framework of intelligent decision-making. Then, facing the complex and changing information environment, Professor Xu proposed that methods such as intuitionistic fuzzy sets, hesitant fuzzy sets, and probabilistic preference sets can accurately characterize complex cognitive information, and introduced cutting-edge intelligent decision-making methods including dynamic decision-making technology and regression analysis technology. At the end of the report, Professor Xu emphasized that with the continuous changes in the application environment, intelligent decision-making needs to consider more environmental information, which poses new challenges for future research.

After the presentation, Professor Xu conducted in-depth exchanges and discussions with the participating teachers and students on the application prospects of methods such as machine learning and fuzzy technology, and the on-site atmosphere was enthusiastic. This academic report not only broadened everyone’s academic horizons, but also provided valuable ideas and inspirations for future research.

Speaker ProfileXu Zeshui is a Chair Professor at Sichuan University, Academician of the European Academy of Sciences (EURASC), Academician of the European Academy of Sciences and Arts (EASA), Academician of the International Academy of Systems and Cybernetics (IASC), and Distinguished Fellow of the International Engineering and Technology Institute (IETI). He is also a Fellow of 11 international authoritative associations including the Institute of Electrical and Electronics Engineers (IEEE), the International Fuzzy Systems Association (IFSA), and the Royal Society for the Encouragement of Arts, Manufactures and Commerce (RSA). He has been selected into the Ministry of Education’s Major Talent Project, is a recipient of the National Science Fund for Distinguished Young Scholars, a candidate of the National Hundred, Thousand and Ten Thousand Talents Project, a Young and Middle-Aged Expert with Outstanding Contributions to the Country, and an expert enjoying Special Government Allowance of the State Council. He has been ranked among the top 200 in the Global Top 2% Scientists Lifetime Scientific Influence List from 2021 to 2023, and ranked 40th in the Global Top Computer Scientists Ranking in 2023. He has long been engaged in research on intelligent decision-making, information fusion, fuzzy mathematics and optimization algorithms, and has systematically established the theoretical and methodological system of complex information decision-making. He has won many awards including the inaugural Thomson Reuters China Citation Laureate Award, the China Youth Science and Technology Award, the Ministry of Education Natural Science Awards (2 first-class awards and 2 second-class awards), and the Jiangsu Provincial Outstanding Achievement Award in Mathematics. He serves as an Associate Editor or Editorial Board Member of more than 30 SSCI/SCI journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, Information Sciences, Information Fusion, Artificial Intelligence Review, Applied Soft Computing, and Cognitive Computation. His works have been cited more than 90,000 times on Google Scholar, with an H-index of 149.

Written by/Qin Xiangyu Reviewed by/Jia Ming