International Journal of Neutrosophic Science

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https://doi.org/10.54216/IJNS

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2690-6805ISSN (Online) 2692-6148ISSN (Print)

Volume 26 , Issue 3 , PP: 01-13, 2025 | Cite this article as | XML | Html | PDF | Full Length Article

Quadripartitioned Neutrosophic Pythagorean Soft Set for Financial Cost Estimation in E-Commerce Supply Chain Management

N. Metawa 1 * , Sait Revda Dinibutun 2 , Maha saad Metawea 3

  • 1 University of Sharjah, UAE; Tashkent State University of Economics, Uzbekistan - (metawa@sharjah.ac.ae)
  • 2 College of Business Administration, American University of the Middle East, Kuwait - (sait.revda@aum.edu.kw)
  • 3 College of business administration, Delta University for Science and Technology, Egypt - (Dr.Mahasaad@hotmail.com)
  • Doi: https://doi.org/10.54216/IJNS.260301

    Received: January 01, 2025 Revised: February 25, 2025 Accepted: March 31, 2025
    Abstract

    The idea of neutrosophic set (NS) from a philosophical viewpoint is a generality of the theory of indeterminacy FS (IFS) and fuzzy set (FS). A NS is considered by a falsity, a truth and indeterminacy membership functions and all membership amount is an actual standard or a non-standard sub-set of the non-standard unit interval ]−0, 1+[. E-commerce is successful for the growth of novel business methods and should be constantly improved in the numerous decades. According to the growing E-commerce, supply chain management (SCM) has been strongly affected as we are now previously overcome by achievement in either developed or developing economies. Nowadays, E-commerce in advanced economy characterizes the newest lead of possibility in physical distribution systems and SCM, even if it emerging economy, e-commerce market is even in its infancy however, it is increasing and become integral part of commercial life. This paper presents a Quadripartitioned Neutrosophic Pythagorean Soft Set-Based Prediction Model for Supply Chain Management (QNPSSPM-SCM) model Using Hybrid Optimization Algorithms. The proposed QNPSSPM-SCM technique is for presenting an advanced E-commerce in SCM using advanced optimization techniques. At first, the min-max normalization method has been applied in the data pre-processing stage to convert input data into a beneficial pattern. In addition, the presented QNPSSPM-SCM system executes quadripartitioned neutrosophic Pythagorean soft set (QNPSS) technique for the prediction process. At last, the hybrid grey wolf optimization and teaching-learning-based optimization (GWO‐TLBO) algorithm fine-tunes the hyperparameter values of the QNPSS model optimally and results in better performance of prediction. The experimental validation of the QNPSSPM-SCM method is verified on a benchmark database and the outcomes are determined regarding different measures. The experimental outcome underlined the development of the QNPSSPM-SCM method in prediction process.

    Keywords :

    Neutrosophic Set , Quadripartitioned Neutrosophic Pythagorean Soft Set , Fuzzy Set (FS) , E-commerce , Financial Cost , Supply Chain Management , Hybrid Optimization Algorithms

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    Cite This Article As :
    Metawa, N.. , Revda, Sait. , saad, Maha. Quadripartitioned Neutrosophic Pythagorean Soft Set for Financial Cost Estimation in E-Commerce Supply Chain Management. International Journal of Neutrosophic Science, vol. , no. , 2025, pp. 01-13. DOI: https://doi.org/10.54216/IJNS.260301
    Metawa, N. Revda, S. saad, M. (2025). Quadripartitioned Neutrosophic Pythagorean Soft Set for Financial Cost Estimation in E-Commerce Supply Chain Management. International Journal of Neutrosophic Science, (), 01-13. DOI: https://doi.org/10.54216/IJNS.260301
    Metawa, N.. Revda, Sait. saad, Maha. Quadripartitioned Neutrosophic Pythagorean Soft Set for Financial Cost Estimation in E-Commerce Supply Chain Management. International Journal of Neutrosophic Science , no. (2025): 01-13. DOI: https://doi.org/10.54216/IJNS.260301
    Metawa, N. , Revda, S. , saad, M. (2025) . Quadripartitioned Neutrosophic Pythagorean Soft Set for Financial Cost Estimation in E-Commerce Supply Chain Management. International Journal of Neutrosophic Science , () , 01-13 . DOI: https://doi.org/10.54216/IJNS.260301
    Metawa N. , Revda S. , saad M. [2025]. Quadripartitioned Neutrosophic Pythagorean Soft Set for Financial Cost Estimation in E-Commerce Supply Chain Management. International Journal of Neutrosophic Science. (): 01-13. DOI: https://doi.org/10.54216/IJNS.260301
    Metawa, N. Revda, S. saad, M. "Quadripartitioned Neutrosophic Pythagorean Soft Set for Financial Cost Estimation in E-Commerce Supply Chain Management," International Journal of Neutrosophic Science, vol. , no. , pp. 01-13, 2025. DOI: https://doi.org/10.54216/IJNS.260301