A novel algorithmic approach to model uncertainties associated with sustainable supply chain management using complex spherical fuzzy soft settings

This study introduces the complex spherical fuzzy soft set (CSFSS), a sophisticated framework that deals with supplier selection uncertainties. This work is crucial to the organization because it has a direct impact on the reliability, costs, and quality of its goods and services. Amplitude and phas...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	International journal of information technology (Singapore. Online) Ročník 17; číslo 5; s. 2877 - 2885
Hlavní autoři:	Asghar, Ali, Khan, Khuram Ali, Rahman, Atiqe Ur, El-Morsy, Salwa
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Singapore Springer Nature Singapore 01.06.2025 Springer Nature B.V
Témata:	Amplitudes Artificial Intelligence Component and supplier management Computer Imaging Computer Science Construction Decision making Fuzzy sets Image Processing and Computer Vision Machine Learning Original Research Pattern Recognition and Graphics Sensitivity analysis Set theory Software Engineering Suppliers Supply chain management Supply chains Uncertainty Vision Decision-making Supply chain management 05C72 Spherical fuzzy set 05C90 Soft set Spherical fuzzy soft set 90B50 Optimization
ISSN:	2511-2104, 2511-2112
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!