A Better Approach for Solving a Fuzzy Multiobjective Programming Problem by Level Sets

In this paper, we deal with the resolution of a fuzzy multiobjective programming problem using the level sets optimization. We compare it to other optimization strategies studied until now and we propose an algorithm to identify possible Pareto efficient optimal solutions.

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Mathematics (Basel) Jg. 9; H. 9; S. 992
Hauptverfasser: Hernández-Jiménez, Beatriz, Ruiz-Garzón, Gabriel, Beato-Moreno, Antonio, Osuna-Gómez, Rafaela
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.05.2021
Schlagworte:
Algorithms
Approximation
Decision making
Fuzzy logic
fuzzy numbers
Fuzzy sets
generalized Hukuhara differentiability
Hypotheses
Linear programming
Mathematical functions
Mathematical programming
Mathematics
multiple objective programming problems
Optimization
Optimization techniques
ISSN:2227-7390, 2227-7390
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In this paper, we deal with the resolution of a fuzzy multiobjective programming problem using the level sets optimization. We compare it to other optimization strategies studied until now and we propose an algorithm to identify possible Pareto efficient optimal solutions.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2227-7390
2227-7390
DOI:10.3390/math9090992