On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Neural networks for soft decision making
Fuzzy Sets and Systems - Special issue on soft decision analysis
On Unifying Probabilistic/Fuzzy and Possibilistic Rejection-Based Classifiers
SSPR '98/SPR '98 Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Support Vector Machines with Embedded Reject Option
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Aggregation operators: new trends and applications
Aggregation operators: new trends and applications
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A Unified Strategy to Deal with Different Natures of Reject
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Growing a multi-class classifier with a reject option
Pattern Recognition Letters
A k-order fuzzy OR operator for pattern classification with k -order ambiguity rejection
Fuzzy Sets and Systems
A critical analysis of variants of the AUC
Machine Learning
Classification with a Reject Option using a Hinge Loss
The Journal of Machine Learning Research
Aggregation Functions (Encyclopedia of Mathematics and its Applications)
Aggregation Functions (Encyclopedia of Mathematics and its Applications)
Classification Methods with Reject Option Based on Convex Risk Minimization
The Journal of Machine Learning Research
An Optimum Class-Rejective Decision Rule and Its Evaluation
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
To reject or not to reject: that is the question-an answer in caseof neural classifiers
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A neural network classifier based on Dempster-Shafer theory
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On optimum recognition error and reject tradeoff
IEEE Transactions on Information Theory
Block similarity in fuzzy tuples
Fuzzy Sets and Systems
A unified view of class-selection with probabilistic classifiers
Pattern Recognition
A decision-making algorithm for automatic flow pattern identification in high-speed imaging
Expert Systems with Applications: An International Journal
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When classes strongly overlap in the feature space, or when some classes are not known in advance, the performance of a classifier heavily decreases. To overcome this problem, the reject option has been introduced. It simply consists in withdrawing the decision, and let another classifier, or an expert, take the decision whenever exclusively classifying is not reliable enough. The classification problem is then a matter of class-selection, from none to all classes. In this paper, we propose a family of measures suitable to define such decision rules. It is based on a new family of operators that are able to detect blocks of similar values within a set of numbers in the unit interval, the soft labels of an incoming pattern to be classified, using a single threshold. Experiments on synthetic and real datasets available in the public domain show the efficiency of our approach.