A New Approach to Model Machine Learning by Using Complex Bipolar Intuitionistic Fuzzy Information

Naeem Jan, Rabia Maqsood, Abdul Nasir, Mohsin S. Alhilal, Amerah Alabrah, Naziha Al-Aidroos

DOI: 10.1155/2022/3147321
Published: 2022-01-19
Container: Journal of Function Spaces
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2022/3147321,
  title = {A New Approach to Model Machine Learning by Using Complex Bipolar Intuitionistic Fuzzy Information},
  author = {Naeem Jan and Rabia Maqsood and Abdul Nasir and Mohsin S. Alhilal and Amerah Alabrah and Naziha Al-Aidroos},
  year = {2022},
  journal = {Journal of Function Spaces},
  doi = {10.1155/2022/3147321},
  url = {https://doi.org/10.1155/2022/3147321}
}

RIS

TY  - JOUR
TI  - A New Approach to Model Machine Learning by Using Complex Bipolar Intuitionistic Fuzzy Information
AU  - Naeem Jan
AU  - Rabia Maqsood
AU  - Abdul Nasir
AU  - Mohsin S. Alhilal
AU  - Amerah Alabrah
AU  - Naziha Al-Aidroos
PY  - 2022
JO  - Journal of Function Spaces
DO  - 10.1155/2022/3147321
UR  - https://doi.org/10.1155/2022/3147321
ER  -

APA

Jan, N., Maqsood, R., Nasir, A., Alhilal, M. S., Alabrah, A., & Al-Aidroos, N. (2022). A New Approach to Model Machine Learning by Using Complex Bipolar Intuitionistic Fuzzy Information. Journal of Function Spaces. https://doi.org/10.1155/2022/3147321

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crossref · retrieved 2026-09-25T09:02:23.102Z