Fuzzy sets and systems as an important technique of artificial intelligence (AI) provide important and non-trivial approaches, techniques and methods suitable for dealing with a number of issues and challenges directly or indirectly related to better understanding of data and systems used for its analysis and processing. It is of special importance in the area of increasing complexity of algorithms and techniques leading to models with low interpretability as well as low man-machine interaction.
It is anticipated that the integration of fuzziness and soft computing technologies with new AI techniques results in developing user-friendly systems with explainable reaction and human supervision.
The aim of this session is to focus on the cross-fertilization of various techniques elaborated under the umbrellas of fuzzy sets and systems and variety of other AI research topics with emphasis on machine and deep learning, reinforcement learning, as well as internet of things and human-centric systems.
The special session will focus on the current research trends in the area of theory and practical aspects of application of fuzzy set and system methods suitable for addressing issues specific to the new AI technologies.