Title of the Report: Non-associative Fuzzy Logic and Novel Neural Networks

Presenter:Zhang Xiaohong

Affiliation:Shaanxi University of Science & Technology

Date of the Report: July 14, 2024 (Sunday), 11:15-12:00 AM

Location of the Report: Lecture Hall on the Second Floor, Block A, Feicui Science and Education Building

Abstract: This presentation begins by introducing concepts such as non-associative t-norms, overlap functions, and non-associative residuated lattices, along with our team's research achievements in non-associative fuzzy logic operators and fuzzy reasoning algorithms. Next, it analyzes the characteristics and limitations of the Θ-Ξ function, proposes a new concept of the OG-function, illustrating that it is a generalization of the Θ-Ξ function, general overlap functions, and general grouping functions, and provides the construction theorem for the OG-function. Finally, it introduces the (a, b)-OG-function and multidimensional (a, b)-OG-functions, presenting preliminary experimental results of novel neural networks constructed based on multidimensional OG-functions and their related applications, thereby demonstrating the significant role of non-classical logic in the development of third-generation artificial intelligence driven by both knowledge and data.

Biography of the Presenter: Zhang Xiaohong, male, is a full professor at Shaanxi University of Science & Technology, a National Model Teacher, and a member of the third batch of the "National Huang Danian-style Teacher Teams" in universities. He currently serves as a director of the China Artificial Intelligence Society (CAAI), vice-chairman of the CAAI Artificial Intelligence Foundation Committee, and executive director of the Fuzzy Information and Engineering Branch of the Chinese Operations Research Society, among others. His main research areas include fuzzy logic and non-classical logic, algebra, rough set theory, foundations of artificial intelligence, big data analysis and mining, intelligent control and decision-making, etc. He has published over 150 SCI-indexed papers in journals such as IEEE TFS, Information Sciences, Fuzzy Sets and Systems, Knowledge-Based Systems, and《中国科学》. He has completed more than 10 projects, including the National Natural Science Foundation of China General Program and international (regional) cooperation and exchange projects. He has received awards such as the Shanghai Natural Science Award, Shanghai Yucail Scholarship, Hunan Provincial Natural Science Award, Shaanxi Provincial Science and Technology Achievement Award, Zhejiang Provincial Natural Science Academic Award, Wu Wenjun Artificial Intelligence Science and Technology Innovation Award, and CAA Natural Science Award from the Chinese Association of Automation, among others.|