Towards a Robust Rank Correlation Measure for Numerical Observations on the Basis of Fuzzy Orderings

نویسندگان

  • Ulrich Bodenhofer
  • Frank Klawonn
چکیده

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.

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تاریخ انتشار 2007