Universitat de Barcelona
2019-01-15T11:39:17Z
2019-01-15T11:39:17Z
2013-03
2019-01-15T11:39:17Z
Distortion risk measures summarize the risk of a loss distribution by means of a single value. In fuzzy systems, the Ordered Weighted Averaging (OWA) and Weighted Ordered Weighted Averaging (WOWA) operators are used to aggregate a large number of fuzzy rules into a single value. We show that these concepts can be derived from the Choquet integral, and then the mathematical relationship between distortion risk measures and the OWA and WOWA operators for discrete and finite random variables is presented. This connection offers a new interpretation of distortion risk measures and, in particular, Value-at-Risk and Tail Value-at-Risk can be understood from an aggregation operator perspective. The theoretical results are illustrated in an example and the degree of orness concept is discussed.
Article
Accepted version
English
Presa de decisions (Estadística); Teoria d'operadors; Direcció d'empreses; Lògica matemàtica; Statistical decision; Operator theory; Industrial management; Mathematical logic
Elsevier B.V.
Versió postprint del document publicat a: https://doi.org/10.1016/j.insmatheco.2013.02.008
Insurance Mathematics and Economics, 2013, vol. 52, num. 2, p. 411-420
https://doi.org/10.1016/j.insmatheco.2013.02.008
(c) Elsevier B.V., 2013
