The RSTA symposium is devoted to the state-of-the-art and future perspectives of rough sets considered from both a theoretical standpoint and real-world applications. Rough set theory is a highly developed discipline with a large number of mechanisms potentially useful in intelligent data analysis. In our special session, we aim to invite deep research papers that address the practical problem of modeling artificial intelligence processes using techniques derived from rough sets. We also encourage scientists from other research fields to participate to initiate discussions and collaborations on other methods of data exploration and approximate computations.

The list of topics includes, but is not limited to:

Artificial Intelligence
Algebraic Logic
Logics from Rough Sets
Approximate Reasoning
Clustering and Rough Sets
Dominance-based rough sets
Distributed Cognition
Granular Computing
Rough mereology
Near sets and Proximity
Fuzzy-rough hybrid methods
Hybrid techniques
Rough neural computing
Evolutionary computation and rough set
Image and Video Processing
Rough Sets in Education Research
Knowledge discovery from Databases
Missing values
Big data
Bio-informatics
Three-Way Decision Making
Data security
Intelligent Robotics
Knowledge engineering
Multimedia applications
AHP and Decision Making
Assistive technology and adaptive sensing systems

Paper submission:

- Authors should submit draft papers (as Postscript, PDF or MSWord file).
- The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here (https://www.fedcsis.org/2020/instructions).
- Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop.
Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants.
- Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
- Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
- Conference proceedings will be submitted for indexation according to information here (https://fedcsis.org/2022/indexation).
Extended versions of selected papers presented during the conference will be published as a volume in the Studies in Computational Intelligence Springer series (http://link.springer.com/bookseries/7092).
Organizers reserve right to move accepted papers between FedCSIS events.

Technical Session Chairs:
Piotr Artiemjew, Faculty of Mathematics and Computer Science, University of Warmia and Mazury in Olsztyn, Poland
A Mani, Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India
Zaineb Chelly Dagdia, UVSQ, Paris-Saclay, France

Contact: rsta2022@fedcsis.org