- The importance of data science is widely acknowledged. The importance of fuzzy systems in data science will be stressed and clarified by a task force in this area.
- Robotics regained momentum recently. Some examples are e.g. drones and collaborative robots (co-bots). The role of fuzzy systems in robotics could be enhanced by a task force.
- A strongly related topic is cyber-physical systems. These systems can profit from a fuzzy approach to the area. We expect a new task force in these areas very soon.
- Deep learning is currently a very hot topic in computational intelligence. What are the relations between deep learning and fuzzy systems? Researchers from both areas have a saying on this.
- Fuzzy integrals and fuzzy measures are well established areas, but can be the ground to support other more applied areas. A new task force can foster new areas in these fields.
Thursday, 2 November 2017
Technical Activities -- Fuzzy Systems Technical Committee
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