On the multistage Bayes classifier
Pattern Recognition
Fuzzy Sets and Systems
Arbitrarily Tight Upper and Lower Bounds on the Bayesian Probability of Error
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lower Bounds for Bayes Error Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
An application of intuitionistic fuzzy sets in medical diagnosis
Fuzzy Sets and Systems
Recent advances in intelligent paradigms and applications
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
On the Mean Accuracy of Hierarchical Classifiers
IEEE Transactions on Computers
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Two-Stage classifier for diagnosis of hypertension type
ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
Fuzzy one-class classification model using contamination neighborhoods
Advances in Fuzzy Systems
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The paper considers the problem of classification error in pattern recognition. This model of classification is primarily based on the Bayes rule and secondarily on the notion of intuitionistic fuzzy sets. A probability of misclassifications is derived for a classifier under the assumption that the features are class-conditionally statistically independent, and we have intuitionistic fuzzy information on object features instead of exact information. Additionally, we consider the global optimal hierarchical classifier.