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
https://2024.fedcsis.org/thematic/rsta

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.

TOPICS

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

IMPORTANT DATES

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

SUBMISSION WEBSITE

Please submit your contributions at the following link: https://2024.fedcsis.org/thematic/rsta

TECHNICAL SESSION CHAIRS

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