The objective of the session is the presentation of original, unpublished results on recent advances
in decision sport systems, time series forecasting and classification. The suggested but not limited
scope of the session includes the following topics:
- Decision support systems (DSS)  design and implementation
- DSS architectures and algorithms (TOPSIS, AHP, other),
- Multi-criteria decision making
- Medical DSS, medical diagnosis, medical guidelines, modelling medical pathways
- Financial DSS
- Supplier selection problem
- Time series forecasting, forecasting of sequences
- Classification  theory and applications
- Committees of classifiers
- Learning classification and forecasting models
- Dealing with missing and lacking data in classification and forecasting
- Dealing with dispersed knowledge in classification and forecasting
- Feature selection for classification and forecasting
- Dealing with big data in classification and forecasting