Speaker
Description
Aggregation functions play a central role in decision making, and among them, weighted means and Ordered Weighted Averaging (OWA) operators are two of the most widely used families. Their relevance is reinforced by the fact that both can be expressed as particular cases of the Choquet integral, which has inspired numerous attempts to develop unified generalizations of these operators.
Building on this line of research, the SUOWA and Semi-SUOWA operators provide flexible frameworks that retain key features of both weighted means and OWA operators, including the ability to assign customized weights and to modulate the influence of extreme values. However, despite the availability of R packages such as Kappalab and Rfmtool for computing discrete Choquet integrals, none offer dedicated tools for these specific operator families.
To address this need, we introduce WEMOWA, an R package developed to compute the capacities and Choquet integrals associated with SUOWA and Semi SUOWA operators. The package includes specialized functionalities for these generalizations and places particular emphasis on winsorized weighted means, an especially practical and relevant subclass within the SUOWA family. Our goal with WEMOWA is to support both applied decision making workflows and advanced methodological studies involving generalized aggregation operators
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| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | R package, Aggregation functions, SUOWA operators, Winsorized weighted means, Choquet integral |
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