Mathematics Webinar | Recent Developments in Fuzzy Regression Models Under Multi-Uncertainty
27 May 2025
Welcome from 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
Event Chair
A Type-2 Fuzzy Approach to Linear Regression Model for Linguistic Data Derived from Expert Knowledge
Prof. Watada is a Specially Appointed Professor at Shimonoseki City University (now named Osaka Metropolitan University). He earned his Ph.D. from Osaka Prefecture University (now named Osaka Metropolitan University) and has held academic posts in Japan and Malaysia. He is a life senior IEEE member, former President of the Forum of Interdisciplinary Mathematics, and an editor for several international journals. His research spans neural networks, soft computing, and decision analysis.
Keynote Speakers
Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Malaysia
Convex Hull Method for Optimal Regression
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.
Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Malaysia
An Approach to Integrating Fuzzy Randomness and Multi-Objective Decision-Making
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.
Regression Model on Categorical Economic Data Under Type-2 Fuzzy Sets of Multi-Uncertainty
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.
Registration
This is a FREE webinar. After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.
Certificates of attendance will be delivered to those who attend the live webinar.
Can’t attend? Register anyway and we’ll let you know when the recording is available to watch.
Program
|
Speaker |
Time in CEST |
Time in CST (Asia) |
|
Prof. Dr. Junzo Watada (Chair) Short History of Fuzzy Linear Regression Models |
9:00 - 9:10 am |
3:00 - 3:10 pm |
|
Dr. Azizul Azhar Ramli Convex Hull Method for Optimal Regression |
9:10 - 9:40 am |
3:10 - 3:40 pm |
|
Dr. Nureize Arbaiy An Approach to Integrating Fuzzy Randomness and Multi-Objective Decision-Making |
9:40 - 10:10 am |
3:40 - 4:10 pm |
|
Dr. Wei Yicheng Regression Model on Categorical Economic Data Under Type-2 Fuzzy Sets of Multi-Uncertainty |
10:10 - 10:40 am |
4:10 - 4:40 pm |
|
Prof. Dr. Junzo Watada (Chair) A Type-2 Fuzzy Approach to Linear Regression Model for Linguistic Data Derived from Expert Knowledge |
10:40 - 11:00 am |
4:40 - 5:00 pm |
| Q&A Session |
11:00 - 11:10 am |
5:00 - 5:10 pm |
|
Prof. Dr. Junzo Watada (Chair) Closing of Webinar
|
11:10 - 11:20 am |
5:10 - 5:20 pm |
Sponsors and Partners
Organizers
