Economic Order Quantity Model-Based Optimized Fuzzy Nonlinear Dynamic Mathematical Schemes

Fuzzy mathematics-informed methods are beneficial in cases when observations display uncertainty and volatility since it is of vital importance to make predictions about the future considering the stages of interpreting, planning, and strategy building. It is possible to realize this aim through acc...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Computational intelligence and neuroscience 2022-07, Vol.2022, p.3881265-9
Hauptverfasser:	Kalaichelvan, Kalaiarasi, Kausar, Nasreen, Kousar, Sajida, Karaca, Yeliz, Pamucar, Dragan, Salman, Mohammed Abdullah
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Automation Cluster analysis Clustering Costs Data analysis Datasets Dynamical systems Economic models Expenditures Informatics Information management Inventory Inventory management Knowledge discovery Mathematical models Mathematics Models, Economic Neural networks Nonlinear Dynamics Nonlinear systems Optimization Optimization techniques Order quantity Parameter uncertainty Pattern recognition Sensitivity analysis Uncertainty
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!