2012
DOI: 10.1016/j.ins.2011.10.012
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Biconic aggregation functions

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Cited by 27 publications
(7 citation statements)
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“…Convexity plays a key role in the characterization of some classes of semilinear copulas, such as conic copulas [24] and biconic copulas [21]. A more general type of convexity, called generalized convexity, has been introduced in the literature and has been used, for instance, to characterize the comparability of two quasi-arithmetic means [5,32].…”
Section: Convexity and Generalized Convexitymentioning
confidence: 99%
See 1 more Smart Citation
“…Convexity plays a key role in the characterization of some classes of semilinear copulas, such as conic copulas [24] and biconic copulas [21]. A more general type of convexity, called generalized convexity, has been introduced in the literature and has been used, for instance, to characterize the comparability of two quasi-arithmetic means [5,32].…”
Section: Convexity and Generalized Convexitymentioning
confidence: 99%
“…Some of these methods start from given sections. Such sections can be the diagonal section and/or the opposite diagonal section [7,9,13,[20][21][22][23]25], or a horizontal section and/or a vertical section [12,27,33]. All of the above methods use sections that are determined by straight lines in the unit square, such as the diagonal, the opposite diagonal, a horizontal line or a vertical line.…”
Section: Introductionmentioning
confidence: 99%
“…Note also that for f (x) = 1 − x, the class of biconic functions with a given opposite diagonal section is retrieved [16].…”
Section: Biconic Functions With a Given Sectionmentioning
confidence: 99%
“…(ii) For f (x) = 1 − x, inequality (2) is equivalent to the concavity of g C (see Lemma 2) and hence, the class of biconic copulas with a given opposite diagonal section (when the opposite diagonal section is piecewise linear) is retrieved [16].…”
Section: Remarkmentioning
confidence: 99%
“…Thus copulas link joint distribution functions to their one-dimensional margins. For a complete survey on copulas, see [22], and for some recent properties [1,6,11,18,21].…”
Section: Orthant Directional Dependence Copulas and Measures Of Assomentioning
confidence: 99%