Costs-Sensitive Classification in Multistage Classifier with Fuzzy Observations of Object Features
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In the paper the problem of cost in hierarchical classifier is presented. Assuming that both the tree structure and the feature used at each non-terminal node have been specified, we present the expected total cost for two cases. The first one concerns the non fuzzy observation of object features, the second concerns the fuzzy observation. At the end of the work the difference between expected total cost of fuzzy and non fuzzy data is determined. Obtained results relate to the locally optimal strategy of Bayes multistage classifier.
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