Rough Sets: Theory and Applications


Warsaw, Poland, 17–20 September, 2023

This 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 Thematic Track 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 Thematic 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 Thematic Track 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.


Relevant topics include but are 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 and rough sets
  • Rough neural computing
  • Evolutionary computation 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
  • Artificial immune systems and rough sets
  • Machine learning and rough sets
  • Applications​​

Thematic Track organizers

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


Submission rules

  • Authors should submit their papers as Postscript, PDF or MSWord files.
  • The total length of a paper should not exceed 12 pages IEEE style (including tables, figures and references). More pages can be added, for an additional fee (see details). IEEE style templates are available here.
  • Papers will be refereed and accepted on the basis of their scientific merit and relevance to the Topical Area.
  • Preprints containing accepted papers will be published online.
  • 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.
  • Organizers reserve right to move accepted papers between FedCSIS Tracks.



Important dates

  • Track proposal submission: November 14, 2022
  • Paper submission (no extensions): May 23, 2023
  • Position paper submission: June 7, 2023
  • Author notification: July 11, 2023
  • Final paper submission, registration: July 31, 2023
  • Discounted payment: August 18, 2023
  • Conference date: September 17⁠–⁠20, 2023

FedCSIS 2023 is organized by

Under patronage of

Warsaw University of Technology

Prof. Krzysztof Zaremba
Rector of Warsaw University of Technology