Abstract
Transformations of aggregation operators preserving the class of copulas and quasi-copulas, respectively, are shown to be concave automorphisms of the unit interval. Attractors of copulas are discussed, special attention being paid to power transformations and the relationship between the corresponding attractors and the so-called maximum attractor (quasi-)copulas. The class of quasi-copulas stable under power transformations is characterized, and it is conjectured that it coincides with the class of all maximum attractor quasi-copulas. Also, examples of copulas not belonging to the maximum domain of attraction of any copula are provided.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aczél, J. and Alsina, C. (1984). Characterizations of some classes of quasilinear functions with applications to triangular norms and to synthesizing judgements. Methode Oper. Res. 48, 3–22.
Alsina, C., Frank, M.J. and Schweizer, B. (2004). Associative Functions on Intervals: A Primer on Triangular Norms. (In press).
Bingham, N.H., Goldie, C.M. and Teugels, J.L. (1987). Regular Variation. Cambridge University Press.
Calvo, T. and Mesiar, R. (2001). Stability of aggregation operators. In: Proceedings of the 2nd International Conference in Fuzzy Logic and Technology (EUSFLAT 2001), Leicester, pp. 475–478.
Capéraà, P., Fougères, A.L. and Genest, C. (2000). Bivariate distributions with given extreme value attractor. J. Multivariate Anal. 72, 30–49.
Cuculescu, I. and Theodorescu, R. (2002). Extreme value attractors for star unimodal copulas. C. R. Math. Acad. Sci. Paris 334, 689–692.
De Baets, B. and De Meyer, H. (2004). Stable commutative copulas in pairwise comparison models. In: Klement, E.P. and Pap, E. (Eds.) Abstracts of the 25th Linz Seminar on Fuzzy Set Theory “Mathematics of Fuzzy Systems”, Linz, pp. 35–36.
Durante, F. (2004). Transformations of quasi-copulas. (Submitted).
Galambos, J. (1987). The Asymptotic Theory of Extreme Order Statistics, 2nd edition. Robert E. Krieger Publishing, Melbourne.
Genest, C., Quesada Molina, J.J., Rodriguez Lallena, J.A. and Sempi, C. (1999). A characterization of quasi-copulas. J. Multivariate Anal. 69, 193205.
Genest, C. and Rivest, L.P. (1989). A characterization of Gumbel’s family of extreme value distributions. Statist. Probab. Lett. 8, 207–211.
Klement, E.P., Mesiar, R. and Pap, E. (2000). Triangular Norms. Kluwer Academic Publishers, Dordrecht.
Klement, E.P., Mesiar, R. and Pap, E. (2001). Uniform approximation of associative copulas by strict and non-strict copulas. Illinois J. Math. 45, 1393–1400.
Klement, E.P., Mesiar, R. and Pap, E. (20002). Invariant copulas. Kybernetika 38, 275–285.
Kolesérovâ, A. (2003). 1-Lipschitz aggregation operators and quasi-copulas. Kybernetilca 39 615–629.
Nelsen, R.B. (1999). An Introduction to Copulas. Lecture Notes in Statistics, 139. Springer-Verlag, New York, 1999.
Nelsen, R.B., Quesada Molina, J.J., Rodriguez Lallena, J.A. and Úbeda Flores, M. (2004). Best-possible bounds on sets of bivariate distribution functions. J. Multivariate Anal. 89, (to appear).
Pickands, J. (1981). Multivariate extreme value distributions. Bull. Inst. Internat. Statist. 49, 859–878 (Discussion: 894–902 ).
Sklar, A. (1959). Fonctions de répartition à n dimensions et leurs marges. Publ. Inst. Statist. Univ. Paris 8, 229–231.
Tawn, J.A. (1988). Bivariate extreme value theory: models and estimation. Biometrika 75, 397–415.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Klement, E.P., Mesiar, R., Pap, E. (2004). Transformations of Copulas and Quasi-Copulas. In: Soft Methodology and Random Information Systems. Advances in Soft Computing, vol 26. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44465-7_21
Download citation
DOI: https://doi.org/10.1007/978-3-540-44465-7_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22264-4
Online ISBN: 978-3-540-44465-7
eBook Packages: Springer Book Archive