Frank Klawonn, Ulrich Bodenhofer,
"Towards robust rank correlation measure for numerical observations on the basis of fuzzy orderings"
: Proc. 5th Conf. of the European Society for Fuzzy Logic and Technology, Seite(n) 321–327, 9-2007, ISBN: 978-80-7368-386-3
Original Titel:
Towards robust rank correlation measure for numerical observations on the basis of fuzzy orderings
Sprache des Titels:
Englisch
Original Buchtitel:
Proc. 5th Conf. of the European Society for Fuzzy Logic and Technology
Original Kurzfassung:
This paper aims to demonstrate that the Spearman rank correlation
coefficient and Kendall's tau are not are not ideally suited for
measuring rank correlation for numerical data that are perturbed by
noise. We propose a robust rank correlation measure on the basis of
fuzzy orderings. The superiority of the new measure is demonstrated
by means of illustrative examples.
Forschungs-