Announcements

20 May 2025
Mathematics Webinar | Recent Developments in Fuzzy Regression Models Under Multi-Uncertainty, 27 May 2025


MDPI is inviting esteemed experts to join Mathematics (ISSN: 2227-7390) upcoming webinar, titled “Recent Developments in Fuzzy Regression Models Under Multi-Uncertainty”.

Fuzzy regression has become an essential analytical tool in addressing ambiguity and complexity across fields such as engineering, economics, and decision science. Since its introduction by Prof. Hideo Tanaka in 1982, the methodology has evolved to incorporate advanced techniques like fuzzy random variables and type-2 fuzzy numbers to address multi-uncertainty environments. This webinar will bring together leading researchers in fuzzy systems and soft computing to explore novel models pushing the frontiers of uncertainty quantification and decision-making.

Our expert panel will present four distinct models: (1) Dr. Azizul’s convex hull method for achieving optimal fuzzy regression; (2) Dr. Nureize’s integrated model, which combines fuzzy randomness with multi-objective decision-making frameworks; (3) Dr. Wei’s type-2 fuzzy regression approach, applied to categorical economic data; and (4) Prof. Dr. Watada’s model for processing linguistic data derived from expert knowledge.

Join us for this engaging session to discover how fuzzy regression is reshaping the analytical landscape and offering innovative solutions to real-world uncertainty. We look forward to your participation in this event.

Webinar: Recent Developments in Fuzzy Regression Models Under Multi-Uncertainty
Date: 27 May 2025
Time: 09:00–11:20 (CEST) | 15:00–17:20 (CST Asia)
More information: https://sciforum.net/event/Mathematics-17

Register for free via the following link:

Program:

Speaker/Presentation

Time in CEST

Time in CST (Asia)

Prof. Dr. Junzo Watada (Chair)
Short History of Fuzzy Linear Regression Models

09:00–09:10

15:00–15:10

Dr. Azizul Azhar Ramli
Convex Hull Method for Optimal Regression

09:10–09:40

15:10–15:40

Dr. Nureize Arbaiy
An Approach to Integrating Fuzzy Randomness and Multi-Objective Decision-Making

09:40–10:10

15:40–16:10

Dr. Wei Yicheng
Regression Model on Categorical Economic Data Under Type-2 Fuzzy Sets of Multi-Uncertainty

10:10–10:40

16:10–16:40

Prof. Dr. Junzo Watada
A Type-2 Fuzzy Approach to Linear Regression Model for Linguistic Data Derived from Expert Knowledge

10:40–11:00

16:00–17:00

Q&A Session

11:00–11:10

17:00–17:10

Prof. Dr. Junzo Watada
Closing of Webinar

11:10–11:20

17:10–17:20

The above webinar is free of charge. 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.

Unable to attend? Please register and we will let you know when the recording is available for viewing.

Webinar Chairs and Keynote Speakers:

  • Prof. Dr. Junzo Watada, Faculty of Data Science, Shimonoseki City University, Japan;
  • Dr. Azizul Azhar Ramli, Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Malaysia;
  • Dr. Nureize Arbaiy, Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Malaysia;
  • Dr. Wei Yicheng, School of Digital Economics and Management, Suzhou City University, China.

More News...
Back to TopTop