Towards robust rank correlation measures for numerical observations on the basis of fuzzy orderings

Ulrich Bodenhofer, Frank Klawonn

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

4 Zitate (Scopus)

Abstract

This paper aims to demonstrate that established rank correlation measures 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.

OriginalspracheEnglisch
TitelNew Dimensions in Fuzzy Logic and Related Technologies - Proceedings of the 5th EUSFLAT 2005 Conference
Herausgeber (Verlag)VSB-Technical University of Ostrava
Seiten321-327
Seitenumfang7
ISBN (Print)9788073683863
PublikationsstatusVeröffentlicht - 2007
Veranstaltung5th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2007 - Ostrava, Tschechische Republik
Dauer: 11 Sep 200714 Sep 2007

Publikationsreihe

NameNew Dimensions in Fuzzy Logic and Related Technologies - Proceedings of the 5th EUSFLAT 2005 Conference
Band1

Konferenz

Konferenz5th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2007
Land/GebietTschechische Republik
OrtOstrava
Zeitraum11.09.200714.09.2007

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