Name
Title | ||
|---|---|---|
Towards a Robust Rank Correlation Measure 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. |
Year | Venue | Keywords |
|---|---|---|
2007 | NEW DIMENSIONS IN FUZZY LOGIC AND RELATED TECHNOLOGIES, VOL I, PROCEEDINGS | Fuzzy Orderings,Rank Correlation,Robust Statistics |
Field | DocType | Citations |
Rank correlation,Fuzzy logic,Mean reciprocal rank,Statistics,Mathematics | Conference | 1 |
PageRank | References | Authors |
0.37 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ulrich Bodenhofer | 1 | 705 | 68.02 |
| Frank Klawonn | 2 | 705 | 101.95 |