Rough Neurocomputing Based on Hierarchical Classifiers

Authors:
Andrzej Skowron;Jaroslaw Stepaniuk;James F. Peters
Affiliations:
-;-;-
Venue:
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Year:
2002

Citing 7
Cited 1

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Rough-Neuro-Computing: Techniques for Computing with Words

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Towards an ontology of approximate reason

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Rough-Neuro Computing

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Fuzzy logic = computing with words

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Abstract

In the paper we discuss parameterized approximation spaces relevant for rough neurocomputing. We propose to use standards defined by classifiers in approximate reasoning. In particular, such standards are used for extraction rules of approximate reasoning (called productions) from data and next for deriving approximate reasoning schemes.