On fuzzy implication functions based on admissible orders on the set of discrete fuzzy numbers

Date

2025-06-02

Authors

González-Hidalgo, Manuel
Massanet, Sebastia
Mir Torres, Arnau
Riera, Juan Vicente

Director

Publisher

Springer
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113870GB-I00/ES/ recolecta
  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-136627NB-I00/ES/ recolecta
Impacto
Google Scholar
No disponible en Scopus

Abstract

Research on the construction of logical connectives using total (admissible) orders is a prolific area of study. Using such orders, a new method for constructing implication functions is defined on the set of discrete fuzzy numbers with support of a closed interval of a given finite chain and whose membership values belong to a finite set of fixed values. This method is based on the use of discrete implication functions defined on a finite chain. Furthermore, a bijective correspondence between the set of implication functions on the aforementioned subset of discrete fuzzy numbers and the set of discrete implication functions defined on the discrete chain is shown. Basic properties of these implication functions are thoroughly investigated, concluding that they are preserved under the proposed construction method. This result highlights the robustness and generality of the method, providing a systematic way to extend discrete implication functions to more complex structures while preserving their underlying properties.

Description

Keywords

Discrete fuzzy numbers, Finite chain, Implication function, Total order

Department

Estadística, Informática y Matemáticas / Estatistika, Informatika eta Matematika

Faculty/School

Degree

Doctorate program

item.page.cita

González-Hidalgo, M., Massanet, S., Mir, A., Riera, J. V., De Miguel, L. (2025) On fuzzy implication functions based on admissible orders on the set of discrete fuzzy numbers. International Journal of Computational Intelligence Systems, 18(1), 1-14. https://doi.org/10.1007/s44196-025-00874-9.

item.page.rights

© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material.

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