1,721,065 research outputs found
Multivariate dependence modeling using copulas
No full textThere exist necessary and sufficient conditions on the generating functions of the FGM family, in order to obtain various dependence properties.
We present multivariate generalizations of this class studying symmetry and dependence concepts, measuring the dependence among the components of each class and providing several examples
Aggregation Functions: A Multivariate Approach Using Copulae
No full textIn this paper we present the extension of the copula approach to aggregation functions. In fact we want to focus on a class of aggregation functions and present them in the multi linear form with marginal copulae. Moreover we will define also the joint aggregation density function
"On characterization of convex premium principles" Department of Applied Mathematics N.142 - University of Venice 2006
No full textAggregation functions: an approach using copulae
No full textIn this paper we present the extension of the copula approach to aggregation functions. In fact we want to focus on a class of aggregation functions and present them in the multilinear form with marginal copulae. Moreover we will define also the joint
aggregation density function
Supermodular and ultramodular aggregation evaluators
No full textThis paper presents the construction of a new kind of evaluators, which are studied on a vector lattice. In particular, by using an
important identity on a vector lattice, we prove a characterization of supermodular property and we construct supermodular evaluators, briefly named SM-evaluators. Then in a particular lattice SM-evaluators become aggregation functions. Similarly we construct ultramodular evaluators, briefly named UM-evaluators
Bivariate copula-based aggregation functions
No full textThis paper presents the role of copula functions in the theory of aggregation operators. In this context we are focusing our attention about several properties of aggregation functions, like supermodularity and Schur-concavity, studying also a decomposition of supermodular binary aggregation operators and copulae
SDOWA: A New OWA Operator for Decision Making
No full textOrdered Weighted Aggregation operators (OWA) are widely
analyzed and applied to real world problems, given their appealing char-
acteristic to re
ect human reasoning, but are enable in the basic de -
nition to include importance weights for the criteria. To obviate, some
extensions were introduced, but we show how none of them can satisfy
completely a set of required properties. Thus we introduce a new pro-
posal, the Standard Deviation OWA (SDOWA) which conversely satisfy
all the listed properties and seems to be more convincing then other ones
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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