Fuzzy rough set based attribute reduction
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The objective of the thesis: Proposes filter-wrapper algorithms for fuzzy rough set based attribute reduction in decision tables to reduce the cardinality of reduct and increase significantly the classification accuracy.
28p extraenglish 24-05-2021 12 3 Download
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The first is the hybrid filterwrapper algorithm proposal for finding the reduction set of the decision table using advanced fuzzy distance measurements and other measurements basing on fuzzy rough set to minimize2 the number of attributes of reduction set. Reduce and improve the accuracy of the classification model.
26p capheviahe27 23-02-2021 32 4 Download