On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Artificial Intelligence
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Modeling Hesitation and Conflict: A Belief-Based Approach for Multi-class Problems
ICMLA '06 Proceedings of the 5th International Conference on Machine Learning and Applications
Pairwise classifier combination using belief functions
Pattern Recognition Letters
Analysis of evidence-theoretic decision rules for pattern classification
Pattern Recognition
Hi-index | 0.00 |
The paper deals with the multi-class (polychotomous) classification problem solved using an ensemble of binary classifiers. The use of the Dempster-Shafer theory to combine the results of binary classifiers is studied. Two approaches are proposed and compared. Some experimental results are provided.