Published 19.05.2024

Call For Papers Rough Sets: Theory and Applications (RSTA)

Thematic Tracks of 19th Conference on Computer Science and Intelligence Systems FedCSIS 2024 (IEEE #61123)
Belgrade, Serbia, 8–11 September, 2024

The RSTA thematic track 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 versatile mathematical framework that has proven successful in artificial intelligence, knowledge representation, approximate reasoning, data mining, machine learning, and pattern recognition, among other areas. The symposium is devoted to all the mentioned areas, with an additional emphasis on problems of modeling artificial intelligence processes using rough set-based techniques. The aim is to showcase the latest research results, exchange new ideas, and facilitate collaborations among experts in the field. Participants are encouraged to submit papers that address fundamental and applied research problems in rough set theory, as well as their applications in diverse fields. We also encourage scientists from other research fields to participate to initiate discussions, and collaborations on other methods of approximate reasoning, data exploration, and computations. The track will provide an opportunity for interdisciplinary exchange and collaboration among scientists from diverse backgrounds, including mathematics, computer science, statistics, physics, engineering, and social sciences. The RSTA symposium will allow staying up-to-date with the state-of-the-art in rough set theory and its applications, and to discuss future research directions and opportunities.



The list of topics of interest include, though not limited to:


  • Algebraic Logic
  • Logics from Rough Sets
  • Approximate Reasoning
  • Clustering and Rough Sets
  • Dominance-Based Rough Sets
  • Granular Computing
  • Rough Mereology
  • Near Sets and Proximity
  • Fuzzy-Rough Hybrid Methods
  • Game-Theoretic Rough Sets
  • Scalability Problems
  • Rough Neural Computing
  • Evolutionary Optimization and Rough Set
  • Rough Sets in Education Research
  • Missing Values
  • Three-Way Decision-Making
  • Analytic Hierarchy Process and Decision-Making
  • Assistive Technology and Adaptive Sensing Systems
  • Explainable AI through Rough Sets
  • Machine Learning and Rough Sets
  • Applications




  • Paper submission (no extensions): May 28, 2024
  • Position paper submission: June 11, 2024
  • Author notification: June 25, 2024
  • Final paper submission, registration: July 23 , 2024
  • Conference date: September 8–11, 2024



Please submit your contributions at the following link:




  • Artiemjew, Piotr, Faculty of Mathematics and Computer Science, University of Warmia and Mazury in Olsztyn, Poland
  • Chelly Dagdia, Zaineb, UVSQ, Paris-Saclay, France
  • A Mani, MIU, Indian Statistical Institute, Kolkata, India