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Selection of Fuzzy-Valued Loss Function in Two Stage Binary Classifier

Authors :
Robert Burduk
Source :
Advances in Soft Computing ISBN: 9783540250548, CORES
Publication Year :
2008
Publisher :
Springer Berlin Heidelberg, 2008.

Abstract

In this paper, a model to deal with Bayesian hierarchical classifier, in which consequences of decision are fuzzy-valued, is introduced. The model is based on the notion of fuzzy random variable and also on a subjective ranking method for fuzzy number defined by Campos and Gonzalez. The Bayesian hierarchical classifier is based on a decision-tree scheme for given tree skeleton and features to be used in each inertial nodes. The influence of selection of fuzzy-valued loss function on classification result is given. Finally, an example illustrating this case of Bayesian analysis is considered.

Details

ISBN :
978-3-540-25054-8
ISBNs :
9783540250548
Database :
OpenAIRE
Journal :
Advances in Soft Computing ISBN: 9783540250548, CORES
Accession number :
edsair.doi...........c276b6aa4d3eb3008a5548188f49cdc7
Full Text :
https://doi.org/10.1007/3-540-32390-2_12