Aggregation of Weak Fuzzy Norms

Aggregation is a mathematical process consisting in the fusion of a set of values into a unique one and representing them in some sense. Aggregation functions have demonstrated to be very important in many problems related to the fusion of information. This has resulted in the extended use of these...

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Main Authors: Tatiana Pedraza, Jorge Ramos-Canós, Jesús Rodríguez-López
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/13/10/1908
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author Tatiana Pedraza
Jorge Ramos-Canós
Jesús Rodríguez-López
author_facet Tatiana Pedraza
Jorge Ramos-Canós
Jesús Rodríguez-López
author_sort Tatiana Pedraza
collection DOAJ
description Aggregation is a mathematical process consisting in the fusion of a set of values into a unique one and representing them in some sense. Aggregation functions have demonstrated to be very important in many problems related to the fusion of information. This has resulted in the extended use of these functions not only to combine a family of numbers but also a family of certain mathematical structures such as metrics or norms, in the classical context, or indistinguishability operators or fuzzy metrics in the fuzzy context. In this paper, we study and characterize the functions through which we can obtain a single weak fuzzy (quasi-)norm from an arbitrary family of weak fuzzy (quasi-)norms in two different senses: when each weak fuzzy (quasi-)norm is defined on a possibly different vector space or when all of them are defined on the same vector space. We will show that, contrary to the crisp case, weak fuzzy (quasi-)norm aggregation functions are equivalent to fuzzy (quasi-)metric aggregation functions.
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spelling doaj.art-cf6ddb53ab404663946d5aee02f040152023-11-22T20:10:54ZengMDPI AGSymmetry2073-89942021-10-011310190810.3390/sym13101908Aggregation of Weak Fuzzy NormsTatiana Pedraza0Jorge Ramos-Canós1Jesús Rodríguez-López2Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, SpainInstituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, SpainInstituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, SpainAggregation is a mathematical process consisting in the fusion of a set of values into a unique one and representing them in some sense. Aggregation functions have demonstrated to be very important in many problems related to the fusion of information. This has resulted in the extended use of these functions not only to combine a family of numbers but also a family of certain mathematical structures such as metrics or norms, in the classical context, or indistinguishability operators or fuzzy metrics in the fuzzy context. In this paper, we study and characterize the functions through which we can obtain a single weak fuzzy (quasi-)norm from an arbitrary family of weak fuzzy (quasi-)norms in two different senses: when each weak fuzzy (quasi-)norm is defined on a possibly different vector space or when all of them are defined on the same vector space. We will show that, contrary to the crisp case, weak fuzzy (quasi-)norm aggregation functions are equivalent to fuzzy (quasi-)metric aggregation functions.https://www.mdpi.com/2073-8994/13/10/1908weak fuzzy quasi-normsaggregation function
spellingShingle Tatiana Pedraza
Jorge Ramos-Canós
Jesús Rodríguez-López
Aggregation of Weak Fuzzy Norms
Symmetry
weak fuzzy quasi-norms
aggregation function
title Aggregation of Weak Fuzzy Norms
title_full Aggregation of Weak Fuzzy Norms
title_fullStr Aggregation of Weak Fuzzy Norms
title_full_unstemmed Aggregation of Weak Fuzzy Norms
title_short Aggregation of Weak Fuzzy Norms
title_sort aggregation of weak fuzzy norms
topic weak fuzzy quasi-norms
aggregation function
url https://www.mdpi.com/2073-8994/13/10/1908
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