Reordering attributes before FRRI does not improve performance, while removing 10% of attributes via fuzzy rough feature selection yields slightly better balanced accuracy and shorter rules.
Knowledge-Based Systems 80, 109–121 (2015)
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Optimising the attribute order in Fuzzy Rough Rule Induction
Reordering attributes before FRRI does not improve performance, while removing 10% of attributes via fuzzy rough feature selection yields slightly better balanced accuracy and shorter rules.