Institute of Information Science, Academia Sinica

        Artificial intelligence (AI) has become a popular research topic in recent years and has shown great success in different applications. However, most AI models function as black boxes and it is hard to explain the inference process of a suggestion made by these models. In this context, explainable AI (XAI) has attracted the attention of some researchers. Fuzzy systems (FS) allows a human user to assign a semantic value to each fuzzy set and express the behavior of the system in a comprehensible manner so that the inference is understandable by the user. Characterized with this property, FS may provide a possible solution to XAI. In this talk, I will first briefly introduce the basic concept of FS. Then I will introduce my recent research results in data-driven FSs. Two learning techniques of data-driven FSs, including fuzzy neural networks and evolutionary fuzzy systems, will be introduced together with their applications to medical diagnosis and mobile robot control.

Chia-Feng Juang received the B.S. and Ph.D. degrees in Control Engineering from the National Chiao-Tung University, Hsinchu, Taiwan,  R.O.C., in 1993 and 1997, respectively.

Since 2001, he has been with the Department of Electrical Engineering, National Chung-Hsing University (NCHU), Taichung, Taiwan, R.O.C., where he became a Full Professor in 2007 and has been a Distinguished Professor since 2009. He has authored or coauthored nine book chapters, over 95 journal papers (including over 55 IEEE journal papers), and over 100 conference papers. His current research interests include computational intelligence, intelligent control, computer vision, and evolutionary robots.

     Dr. Juang received the Outstanding Youth Award from Taiwan System Science and Engineering Society, Taiwan, in 2010; the Excellent Research Award from NCHU, Taiwan, in 2010; the Outstanding Youth Award from Taiwan Fuzzy Systems Association, Taiwan, in 2014; and the Outstanding Automatic Control Engineering Award from Chinese Automatic Control Society (CACS), Taiwan, in 2014. He was elevated to CACS Fellow in 2016 and IEEE Fellow in 2019.

.  Dr. Juang is an Associate Editor of the IEEE TRANSACTIONS ON FUZZY SYSTEMS, the IEEE TRANSACTIONS ON CYBERNETICS, the Asian Journal of Control, and the Journal of Information Science and Engineeringand an Area Editor of the International Journal of Fuzzy Systems.