Mathematics Webinar | Recent Developments in Fuzzy Regression Models Under Multi-Uncertainty
the chair
We are pleased to invite you to an engaging webinar featuring leading researchers in fuzzy systems and soft computing. The session will explore various innovative fuzzy regression models designed to tackle complex, real-world uncertainties across diverse fields such as finance, engineering, and decision science.
Fuzzy regression has become a powerful analytical tool in handling ambiguous and complex data in engineering, economics, and management. Since its introduction by Prof. Hideo Tanaka in 1982, the model has evolved significantly—especially in handling multi-uncertainty using fuzzy random variables and type-2 fuzzy numbers. This webinar will present four distinct models:
- Junzo Watada: “Short History of Fuzzy Linear Regression Models” (10 minutes).
- Azizul Azhar Ramli:“Convex hull method for optimal regression” (30 minutes).
- Nureize Arbaiy: “An approach to integrating fuzzy randomness and multi-objective decision-making.(30 minutes)
- Wei Yicheng: Regression model on categorical economic data under type-2 fuzzy sets of multi-uncertainty.
- Junzo Watada: A type 2 fuzzy approach to Linear Regression Model to linguistic data derived from expert knowledge (30 minutes).
Questions & Answers (remaining minutes)
Date: 27 May 2025
Time: 9:00 am CEST | 3:00 pm CST (Asia)
Webinar ID: 869 9179 6184
Webinar Secretariat: journal.webinar@mdpi.com
Meet the Event Chair
Meet Our Speakers
Dr. Azizul Azhar Ramli
Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Malaysia;
Born in Malaysia, Dr. Ramli is an Associate Professor at UTHM specializing in Artificial Intelligence and Soft Computing. He holds a Ph.D. from Waseda University (Japan), and MSc and BSc degrees from Malaysian institutions. He has held roles such as Dean and Principal Researcher, and his work emphasizes intelligent systems and dynamic data analysis. He is also certified by Microsoft and Huawei.
Dr. Nureize Arbaiy
Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Malaysia;
Dr. Nureize serves at the Department of Software Engineering, UTHM. Her interests include fuzzy regression, multi-criteria decision-making, and deep learning. She has supervised numerous graduate students and contributed to top-tier journals and conferences. She is an active peer reviewer and contributor in her field.
Dr. Wei Yicheng
School of Digital Economics and Management, Suzhou City University, China;
An Associate Professor at Suzhou City University, Dr. Wei is affiliated with Fudan University and the Southwestern University of Finance and Economics. He is a member of CF40, ICMA, and ISME. A past recipient of Japan’s WISE and JSPS fellowships, his focus spans financial engineering, deep learning, and machine learning.
Sponsors and Partners
Organizer
The webinar was hosted via Zoom and required registration to attend. The full recording can be found below. In order to learn about future webinars, you can sign up to our newsletter by clicking “Subscribe” at the top of the page.