Robust Rank Correlation Coefficients on the Basis of Fuzzy Orderings: Initial Steps
نویسندگان
چکیده
The goal of this paper is 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 to use robust rank correlation measures based on fuzzy orderings. We demonstrate that the new measures overcome the robustness problems of existing rank correlation coefficients. As a first step, this is accomplished by illustrative examples. The paper closes with an outlook on future research and applications.
منابع مشابه
Towards a Robust Rank Correlation Measure for Numerical Observations on the Basis of Fuzzy Orderings
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 2008