Abstract

In this paper we extend the notion of stability of each aggregation function as presented in a previous paper of the authors, where an aggregation function was denominated Family of Aggregation Operators (FAO) in order to stress that aggregation operators within an aggregation function should be consistent. We will show that the previous definition presents certain problems when dealing with a FAO that is not idempotent or continuous. Meanwhile the previous definition was based on the study of fixed points, without taking into account the environment of each point, as many applications demand, the new approach we propose now is more flexible, and at the end allows a more appropriate definition of the consistency of a FAO. It will be shown that under certain conditions our new proposal is equivalent to the previous definition of strict stability, but the new definition covers families of aggregation operators that are not strictly stable, but intuitively stable, and vice versa. In short, we will see that our new proposal fits much better the intuition of stability of a FAO. This reformulation of stability is based upon the concept of penalty function as a measure of proximity between a value and an array of values.
Loading...

Quotes

0 citations in WOS
0 citations in

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

URL external

Description

El artículo proporciona un marco matemático más sólido para garantizar que, al agregar información en sistemas complejos, los resultados sean estables y no varíen de forma errática ante pequeños cambios. Se busca redefinir y extender el concepto de "estabilidad" en las funciones de agregación. El artículo demuestra que las definiciones anteriores de estabilidad presentaban problemas matemáticos cuando las funciones no eran continuas o idempotentes. Se introduce una nueva definición de estabilidad que analiza no solo los puntos fijos de la función, sino el comportamiento en todo su dominio, lo que permite identificar operadores que son "robustos" ante pequeñas variaciones en los datos de entrada. En el artículo se prueba que su nueva propuesta es más intuitiva y general, logrando incluir funciones que antes no se consideraban estables pero que, en la práctica, demuestran ser fiables y consistentes.

Citation

Pablo Olaso, Karina Rojas, Daniel Gómez, Javier Montero, A generalization of stability for families of aggregation operators, Fuzzy Sets and Systems, Volume 378, 2020, Pages 68-78, ISSN 0165-0114, https://doi.org/10.1016/j.fss.2019.01.004.

Endorsement

Review

Supplemented By

Referenced By

Statistics

Views
15
Downloads
1

Bibliographic managers