On the multistage Bayes classifier
Pattern Recognition
Fuzzy sets in pattern recognition: methodology and methods
Pattern Recognition
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
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Two-stage binary classifier with fuzzy-valued loss function
Pattern Analysis & Applications
On the Mean Accuracy of Hierarchical Classifiers
IEEE Transactions on Computers
Classification error in Bayes multistage recognition task with fuzzy observations
Pattern Analysis & Applications
Costs-sensitive classification in multistage classifier with fuzzy observations of object features
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
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The paper considers the mixture of randomness and fuzziness in Bayes multistage classifier Assuming that both the tree structure and the feature used at each non-terminal node have been specified, we present the probability of error This model of classification is based on the fuzzy observations, the randomness of classes and the Bayes rule The obtained error for fuzzy observations is compared with the case when observation are not fuzzy as a difference of errors Additionally, the obtained results are compared with the bound on the probability of error based on information energy of fuzzy events.