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Rough mereological classifiers obtained from weak variants of rough inclusions

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008) 5009 LNAI 229-236
DOI: 10.1007/978-3-540-79721-0_34
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Abstract

Granular reflections of data sets have turned out to be very effective in data classification. In this work we present results of classification of real data sets by means of an approach in which granules of objects or decision rules are built on the basis of weak variants of rough inclusions. © 2008 Springer-Verlag Berlin Heidelberg.

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Artiemjew, P. (2008). Rough mereological classifiers obtained from weak variants of rough inclusions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5009 LNAI, pp. 229–236). https://doi.org/10.1007/978-3-540-79721-0_34

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