id: 05473492
dt: j
an: 05473492
au: Kononenko, Igor
ti: On facts versus misconceptions about rough sets.
so: Informatica, Ljubl. 20, No. 4, 465-468 (1996).
py: 1996
pu: The Slovene Society Informatika, Ljubljana
la: EN
cc: I.2.6
ut: rough set theory; critical analysis; machine learning
ci: 
li: 
ab: Summary: The note is a response to the paper Rough Sets: Facts Versus
    Misconceptions by J. Grzymala-Busse, J. Stefanowski and W. Ziarko,
    Informatica, this volume, which is in turn the response to the paper
    (Kononenko and Zorc, 1994). I clarify some points from our original
    paper that were mistakenly interpreted by Grzymala-Busse et al. and
    stress points from our original paper that were ignored by
    Grzymala-Busse et al. I conclude that with additions to the Rough Sets
    theory one can achieve good performance, which is however not due to
    Rough Sets but due to the additions, and that the use of Rough Sets is
    an unnecessary burden for machine learning algorithms.
rv: