An advanced hybrid intuitionistic fuzzy Z-number framework for IT impact analysis in E-learning systems.

Hameed MS, Khalid UB, Saheeb R, Ali S, Ashebo MA, Jumaniyazov S, Rasulov A

DOI: 10.1038/s41598-026-56121-4
Published: 2026 Jun 17
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-56121-4,
  title = {An advanced hybrid intuitionistic fuzzy Z-number framework for IT impact analysis in E-learning systems.},
  author = {Hameed MS and Khalid UB and Saheeb R and Ali S and Ashebo MA and Jumaniyazov S and Rasulov A},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-56121-4},
  url = {https://doi.org/10.1038/s41598-026-56121-4}
}

RIS

TY  - JOUR
TI  - An advanced hybrid intuitionistic fuzzy Z-number framework for IT impact analysis in E-learning systems.
AU  - Hameed MS
AU  - Khalid UB
AU  - Saheeb R
AU  - Ali S
AU  - Ashebo MA
AU  - Jumaniyazov S
AU  - Rasulov A
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-56121-4
UR  - https://doi.org/10.1038/s41598-026-56121-4
ER  -

APA

MS, H., UB, K., R, S., S, A., MA, A., S, J., & A, R. (2026). An advanced hybrid intuitionistic fuzzy Z-number framework for IT impact analysis in E-learning systems.. Scientific reports. https://doi.org/10.1038/s41598-026-56121-4

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pubmed · retrieved 2026-09-26T01:22:34.530Z