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...

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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
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Popis
Shrnutí: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 phase features are introduced in this framework to maintain the anticipated data-based patterns. The amplitude feature handles fuzzy membership, whereas the phase feature preserves periodicity inside a complex plane. In addition, CSFSS provides decision-makers with the power to present their unbiased assessments of the items under consideration through the use of an unbiased grading system. Next, the paper moves on to explore the fundamental ideas and set operations related to CSFSS. An algorithm based on multi-attribute decision-making (MADM) is presented. The core matrix, score, maximum and minimum decision-valued matrices are among the exclusive matrix-based arrangements of CSFSS that are specified by this method. In real life, this method is applied to selecting a trustworthy source for building project supplies. The results and supplier ranks are legitimate based on sensitivity analysis using Pythagorean means. Furthermore, structural comparison with existing fuzzy set-like structures suggests that the proposed framework is more flexible and robust.
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ISSN:2511-2104
2511-2112
DOI:10.1007/s41870-024-02206-0