Web: http://arxiv.org/abs/2108.09098

Jan. 24, 2022, 2:11 a.m. | Gonzalo Nápoles, Lisa Koutsoviti Koumeri

cs.LG updates on arXiv.org arxiv.org

The need to measure bias encoded in tabular data that are used to solve
pattern recognition problems is widely recognized by academia, legislators and
enterprises alike. In previous work, we proposed a bias quantification measure,
called fuzzy-rough uncer-tainty, which relies on the fuzzy-rough set theory.
The intuition dictates that protected features should not change the
fuzzy-rough boundary regions of a decision class significantly. The extent to
which this happens is a proxy for bias expressed as uncertainty in
adecision-making context. …

arxiv bias classification datasets uncertainty

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