A Review on Differentiability and Optimality Conditions in Fuzzy Environments

Beatriz Hernández-Jiménez, Rafaela Osuna-Gómez, Yurilev Chalco-Cano, Tiago Mendoça da Costa

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

In this paper we present a review of the most important notions and characterizations of differentiability and necessary optimality conditions for a fuzzy multiobjective problem. As basis of this review, we first study the fundamental aspects of the notions of differentiability for interval valued functions, since the fuzzy environment and the interval environment are closely related. Those aspects are related to the different definitions of difference for intervals and their drawbacks, the different definitions and characterizations of the differentiability for interval-valued functions and their drawbacks and how they have been solved in the literature. Based on the most important and meaning results on interval valued functions you can find in the literature, a review on notions of differentiability in fuzzy context is given, both in the case of functions of one variable, and several variables. And finally we present the review results of the necessary optimality conditions for fuzzy multiobjective problems and the main conclusions.

Idioma originalInglés
Título de la publicación alojadaInformation Processing and Management of Uncertainty in Knowledge-Based Systems - 19th International Conference, IPMU 2022, Proceedings
EditoresDavide Ciucci, Inés Couso, Jesús Medina, Dominik Ślęzak, Davide Petturiti, Bernadette Bouchon-Meunier, Ronald R. Yager
EditorialSpringer Nature
Páginas245-257
Número de páginas13
ISBN (versión impresa)9783031089701
DOI
EstadoPublicada - 2022
Evento19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2022 - Milan, Italia
Duración: 11 jul. 202215 jul. 2022

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1601 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2022
País/TerritorioItalia
CiudadMilan
Período11/07/2215/07/22

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