SPECIAL SESSIONS
IJCRS2026 will host the following Special Sessions:
- Three-Way Decision, Granular Computing, and Cognitive Intelligence
- Rough Sets and Hybrid Theories: Models, Logic, and Applications
Special Session on Three-Way Decision, Granular Computing, and Cognitive Intelligence
Introduction
The theory of three-way decision (3WD), rooted in a philosophy of thinking in threes, a methodology of working with threes, and a mechanism of processing through threes, provides a comprehensive framework for processing information, managing uncertainty, and making intelligent decisions. Since its formalization by Professor Yiyu Yao in the early 2010s, 3WD has evolved from an extension of rough set probabilistic models into a methodology for problem-solving in complex systems. It also serves as a bridge between rough set theory and granular computing, offering a valuable mechanism to handle decisions, acceptance, rejection, and non-commitment via triadic structures.
As we approach IJCRS 2026, the relevance of 3WD has expanded significantly. Recent advancements and publications in 3WD have highlighted the critical role of triadic thinking and three-world thinking in fostering organizing and processing information through multi-level and multi-granularity approaches. This special session aims to explore the intersection of 3WD with the core themes of IJCRS 2026, particularly focusing on granular computing, three-way data analytics, and cognitive computing.
By integrating the strict mathematical foundations of rough sets with the flexibility of 3WD, this special session seeks to address contemporary challenges in AI, such as explainability, dynamic learning, and big data analytics. We invite researchers to submit original works that push the boundaries of 3WD theory or demonstrate its efficacy in real-world applications in various fields.
Topics
We invite submissions of original and previously unpublished research on three-way decision, including but not limited to the following topics:
- Three-way reasoning, thinking in threes, trilevel thinking, triadic thinking
- Methodology of three-way decision, tripartite methods, three-way learning
- Three-way decision for explainable artificial intelligence
- Three-way decision and granular computing
- Three-way decision and rough sets
- Three-way decision and fuzzy sets
- Three-way classification
- Three-way clustering
- Three-way conflict analysis
- Three-way formal concept analysis
- Three-way recommendation
- Three-way dynamic learning, incremental learning, and dynamic modeling
- Three-way decision in deep learning and three-way decision in machine learning
- Three-way decision in analyzing incomplete data
- Three-way decision in big data analysis and data mining
- Three-way multi-label learning and label distribution learning
- Three-way ensemble learning
- Three-way group decision making
- Three-way decision in multi-criteria decision making
- Three-way decision in bioinformatics
- Sequential three-way decision and applications
- Movement-based three-way decision
- Three-way decision for network group of forecasts
- Three-way decision with interval sets and orthopairs
- Visual three-way computing and three-way visual computing
- Three-way quotient space analysis
- Uncertainty reasoning and three-way decision
- Three-way stream computing and concept drift
- Multi-scale three-way decision
- Double-quantitative three-way decision
- Multi-granulation three-way decision
- Fuzzy three-way decision and three-way fuzzy decision
- Three-way decision in management science
- Three-way decision in smart agriculture
- Three-way decision in information security and privacy protection
Organizers
- Dr. Mengjun Hu, University of Manitoba, Canada
- Dr. Chengjun Shi, University of Manitoba, Canada
- Dr. Aleksandra Szpakowska, University of Warmia and Mazury in Olsztyn, Poland
Special Session on Rough Sets and Hybrid Theories: Models, Logic, and Applications
Introduction
This special session aims to bring together researchers working on hybrid approaches that integrate rough sets with fuzzy sets, evidence theories, and probabilistic models for soft decision making.
Topics
We invite submissions of original and previously unpublished research on three-way decision, including but not limited to the following topics:
- Rough fuzzy sets,
- Fuzzy rough sets,
- L-fuzzy sets and general rough sets,
- Mereological and logical aspects of hybrid L-fuzzy sets,
- Evidential rough sets,
- Fusion methods,
- Rough-set–valued stochastic models,
- Comparative studies between evidence theories and probabilistic rough sets.
Both theoretical contributions and methodological advances are welcome, as well as applications demonstrating the added value of hybrid models. The session seeks to foster discussion on foundations, unifying frameworks, and emerging directions in hybrid rough set research.
Organizers
- Dr. A. Mani, Indian Statistical Institute, Indian
- Dr. Balasubramaniam Jayaram, Indian Institute of Technology Hyderabad, India
- Dr. Stefania Boffa, University of Milano-Bicocca, Italy