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Oct 15, 2017 · A penalty-based framework for multidimensional aggregation functions is proposed. The model includes all idempotent functions.
Oct 12, 2017 · The proposed penalty-based approach serves as a common framework for all idempotent information aggregation methods, including componentwise ...
The proposed penalty-based approach serves as a common framework for all idempotent information aggregation methods, including componentwise functions, pairwise ...
It is shown that, in the multidimensional setting, the only idempotent functions that are monotone and orthogonal equivariant are the over-simplistic ...
Abstract. Research in aggregation theory is nowadays still mostly focused on algorithms to summarize tuples consisting of observations in.
Penalty-based aggregation of multidimensional data ; Author. Marek Gągolewski ; Journal series: Fuzzy Sets and Systems, ISSN 0165-0114 ; Issue year: 2017 ; Vol: 325 ...
Penalty-based aggregation of multidimensional data Gągolewski, Marek. Previous · Next · Object structure. Object description; Files list. Metadata language.
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Two prominent examples of penalty-based aggregation of circular data. 3 ... Gagolewski, M.: Penalty-based aggregation of multidimensional data. Fuzzy ...
Penalty functions have been a common tool in data aggregation for decades. Unfortunately, although the definition of a penalty function has evolved over the ...
In this paper, we point out several problems in the different definitions (and related results) of penalty functions found in the literature.