Call for Papers:

2022 IEEE World Congress on Computational Intelligence (WCCI 2022)

WCCI – FUZZ-IEEE 2022 Special Session on Advances in Deep Fuzzy Systems

Organized by Uzay Kaymak, João Sousa and Alexander Gegov

Deep learning has gained significant attention within the computational intelligence community over the recent years. Its success has been mainly due to the increased capability of modern computers to collect, store and process large volumes of data. This has led to a substantial increase in the effectiveness and efficiency of data management. As a result, it has become possible to achieve high accuracy within a short time frame for some benchmark learning tasks such as object classification and image recognition. The most common implementation of deep learning has been through neural networks due to the ability of their layers to perform multiple functional composition as part of a multistage learning process. However, despite the significant advances in deep learning, there are also limitations. Effectiveness is usually adversely affected when the data is not well defined due to inherent noise, uncertainty, ambiguity, vagueness and incompleteness. This has an adverse impact on efficiency due to the necessity to refine the data by additional collection, analysis and cleaning. The reduced effectiveness and efficiency undermine the ability of deep learning to address some real-life tasks that are safety critical or time critical. Besides this, deep leaning has been used mainly in a passive manner for the purpose of observing the environment, but it almost has not been used in an active manner for the purpose of changing the environment. Finally, deep learning models often have poor transparency which makes them difficult for understanding, explanation and interpretation by non-technical users.

Deep fuzzy systems could address some of these problems and limitations. Deep learning can also be used for developing fuzzy systems that can solve more complicated tasks in more dynamic environments. DFS have been around in different forms and under different names such as hierarchical fuzzy systems (also known as fuzzy trees) and networked fuzzy systems (also known as fuzzy networks). DFS are well suited for performing multiple functional composition at both crisp and linguistic level. Moreover, they have the potential of handling effectively and efficiently data that is not well defined due to the ability of fuzzy logic to deal successfully with different types of uncertainty. Also, DFS can be used in both passive and active manner with regards to the environment due to their generic structure. Finally, these systems have a high level of transparency due to the ability of fuzzy rules to capture well the interactions between input and output variables.

This special session aims to bring together contributions on recent advances in deep fuzzy systems (DFS), both from a theoretical and a practical perspective. As such, the session will provide a good outlook on the state-of-the-art in this growing field for the fuzzy systems community.

The topics covered, include but are not limited to:

Theoretical methods

• Hierarchical Fuzzy Systems
• Fuzzy Networks
• Chained Fuzzy Systems
• Multistage Fuzzy Systems
• Deep learning for Fuzzy Systems
• Deep Fuzzy Learning Systems

Application areas

• Object Classification
• Image Recognition
• Systems Control
• Fault Detection
• Decision Making

Case studies

• Transport
• Robotics
• Business
• Environment
• Healthcare
• Security
• Energy

Important dates:

• Full paper submission:                        January 31, 2022 (Strict deadline!)
• Notification of paper acceptance:       April 26, 2022
• Camera-ready paper submission:      May 23, 2022
• Conference starts:                              July 18, 2022
• Conference ends:                               July 23, 2022

Conference website:                     https://wcci2022.org/

Special Session website:              https://omarali0703.github.io/ieee-deepfuzzy-specialsession/

Information for authors:              https://wcci2022.org/submission/

Submission website:                      https://cmt3.research.microsoft.com/IEEEWCCI2022/

(Please select SS on Advances in Deep Fuzzy Systems (FUZZ-SS-9) as Main research topic when submitting.)

We look forward to see you in Padua!

Uzay Kaymak, João Sousa, Alex Gegov.