Title of the Report:The Three-I Method and Five-I Method of Fuzzy Reasoning with Different Implications

Presenter: Tang Yiming

Affiliation: Hefei University of Technology

Date of the Report: July 14, 2024 (Sunday), 10:30-11:15 AM

Location of the Report:    

Abstract:Fuzzy reasoning plays a crucial role in fields such as fuzzy control, artificial intelligence, affective computing, image processing, etc. As an improvement over the classic CRI method, Mr. Wang Guojun's three-I method is one of the most reasonable approaches to fuzzy reasoning (where "I" stands for Inference or Implication), receiving high recognition both domestically and internationally. Subsequently, by evolving three identical implication operators into different implication operators, the three-I method has been generalized into the method of different implications three-I. Furthermore, the three-I method has been further extended to the five-I method. Hence, it becomes an intriguing question whether the five-I method can be unified with the CRI method. To this end, we propose the different implications five-I method. This report will systematically introduce the current research achievements of the different implications three-I method and the different implications five-I method.

  Biography of the Presenter: Tang Yiming, professor and PhD supervisor at Hefei University of Technology, director of Anhui Province Intelligent Reasoning Committee, standing committee member of the Non-classical Logic and Computing Committee of the Chinese Logic Society, standing committee member of the Artificial Intelligence Logic Committee of China Artificial Intelligence Society (CAAI), executive committee member of the Collaborative Computing Committee of China Computer Federation (CCF), member of CAAI Machine Learning Committee, member of CAAI Granular Computing and Knowledge Discovery Committee, member of CAAI Artificial Intelligence Foundation Committee, Deputy Director of Department of Intelligent Science and Technology, senior member of IEEE, CCF, and CAAI. His research interests include clustering theory, collaborative computing, and fuzzy reasoning, which serve affective computing, image processing, granular computing, etc. He has published (or accepted) over 100 papers in journals such as IEEE TPAMI, TCYB, TFS, TETCI, TAI, and TCSS, including 2 ESI Hot Papers and 3 ESI Highly Cited Papers. He holds 8 national invention patents and 12 national software copyright registrations. He serves as an editorial board member for multiple SCI journals, a PC Member for more than 10 conferences, such as AAAI, and a reviewer for over 50 SCI journals, including TPAMI. He was awarded the Outstanding Associate Editor of IEEE Access in 2021 and 2022. He received the first prize of the Innovation Award and the third prize of the Progress Award from the second and fourth "Wu Wenjun Artificial Intelligence Science and Technology Awards." He has led 3 National Natural Science Foundation projects, special funding projects from China Postdoctoral Science Foundation, and over 10 other scientific research projects. He has participated in more than 20 major national R&D projects and key projects of the National Foundation.