Abstract
In the paper we discuss parameterized approximation spaces 0relevant 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.
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Skowron, A., Stepaniuk, J., Peters, J.F. (2002). Rough Neurocomputing Based on Hierarchical Classifiers. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds) Rough Sets and Current Trends in Computing. RSCTC 2002. Lecture Notes in Computer Science(), vol 2475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45813-1_41
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DOI: https://doi.org/10.1007/3-540-45813-1_41
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