@inproceedings{3196902de59942a88524f8a9ac1fbd9a,
title = "Towards robust rank correlation measures for numerical observations on the basis of fuzzy orderings",
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.",
keywords = "Fuzzy Orderings, Rank Correlation, Robust Statistics",
author = "Ulrich Bodenhofer and Frank Klawonn",
year = "2007",
language = "English",
isbn = "9788073683863",
series = "New Dimensions in Fuzzy Logic and Related Technologies - Proceedings of the 5th EUSFLAT 2005 Conference",
publisher = "VSB-Technical University of Ostrava",
pages = "321--327",
booktitle = "New Dimensions in Fuzzy Logic and Related Technologies - Proceedings of the 5th EUSFLAT 2005 Conference",
address = "Czech Republic",
note = "5th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2007 ; Conference date: 11-09-2007 Through 14-09-2007",
}