Abstract
In this paper we present a neuro-fuzzy classifier performing a Bayes decision function. The classifier is based on a neuro-fuzzy structure. The rough set theory is incorporated into this structure. It will be shown that a new hybrid system, i.e. rough-neuro-fuzzy classifier, is able to perform classification in the case of missing features.
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Nowicki, R., Rutkowski, L. (2003). Soft Techniques for Bayesian Classification. In: Rutkowski, L., Kacprzyk, J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1902-1_82
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DOI: https://doi.org/10.1007/978-3-7908-1902-1_82
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0005-0
Online ISBN: 978-3-7908-1902-1
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