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d-Choquet integrals: Choquet integrals based on dissimilarities

\(d\)-Choquet integrals: Choquet integrals based on dissimilarities
Authors: Humberto Bustince; Radko Mesiar; Javier Fernández 0002; Mikel Galar; Daniel Paternain; Abdulrahman H. Altalhi; Graçaliz Pereira Dimuro; +2 Authors

d-Choquet integrals: Choquet integrals based on dissimilarities

Abstract

The paper introduces a new class of functions from [0,1]n to [0,n] called d-Choquet integrals. These functions are a generalization of the 'standard' Choquet integral obtained by replacing the difference in the definition of the usual Choquet integral by a dissimilarity function. In particular, the class of all d-Choquet integrals encompasses the class of all 'standard' Choquet integrals but the use of dissimilarities provides higher flexibility and generality. We show that some d-Choquet integrals are aggregation/pre-aggregation/averaging/functions and some of them are not. The conditions under which this happens are stated and other properties of the d-Choquet integrals are studied.

This work was supported in part by the Spanish Ministry of Science and Technology under project TIN2016-77356-P (AEI/FEDER, UE), by the Public University of Navarra under project PJUPNA13 and by grant VEGA 1/0614/18 . Z. Takáč was supported by the project VEGA 1/0545/20. R. Mesiar was supported by the project of Grant Agency of the Czech Republic (GACR) no. 18-06915S and by the Slovak grant APVV-17-0066 . G.P. Dimuro was supported by Brazilian agency CNPq under the grant 301618/2019-4 and FAPERGS (Proc. 19/2551-0001660 ). B. Bedregal was supported by Brazilian agency CNPq under the grant 307781/2016-0 and Caixa y Fundación Caja Navarra.

Countries
Czech Republic, Spain
Keywords

Monotonicity, \(d\)-Choquet integral, Fuzzy measure theory, Directional monotonicity, Pre-aggregation function, monotonicity, Dissimilarity, dissimilarity, Computer sciences, information science, bioinformathics, directional monotonicity, Choquet integral, Aggregation function, pre-aggregation function, aggregation function, d-Choquet integral

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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