Efficient approximate analytical methods for nonlinear fuzzy boundary value problem
- DOI
- 10.11591/ijece.v12i2.pp1916-1928
- Published
- 2022-04-01
- Container
- International Journal of Electrical and Computer Engineering (IJECE)
- Publisher
- Institute of Advanced Engineering and Science
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.11591/ijece.v12i2.pp1916-1928,
title = {Efficient approximate analytical methods for nonlinear fuzzy boundary value problem},
author = {Ali Fareed Jameel and Hafed H Saleh and Amirah Azmi and Abedel-Karrem Alomari and Nidal Ratib Anakira and Noraziah Haji Man},
year = {2022},
journal = {International Journal of Electrical and Computer Engineering (IJECE)},
doi = {10.11591/ijece.v12i2.pp1916-1928},
url = {https://doi.org/10.11591/ijece.v12i2.pp1916-1928}
}RIS
TY - JOUR TI - Efficient approximate analytical methods for nonlinear fuzzy boundary value problem AU - Ali Fareed Jameel AU - Hafed H Saleh AU - Amirah Azmi AU - Abedel-Karrem Alomari AU - Nidal Ratib Anakira AU - Noraziah Haji Man PY - 2022 JO - International Journal of Electrical and Computer Engineering (IJECE) DO - 10.11591/ijece.v12i2.pp1916-1928 UR - https://doi.org/10.11591/ijece.v12i2.pp1916-1928 ER -
APA
Jameel, A. F., Saleh, H. H., Azmi, A., Alomari, A., Anakira, N. R., & Man, N. H. (2022). Efficient approximate analytical methods for nonlinear fuzzy boundary value problem. International Journal of Electrical and Computer Engineering (IJECE). https://doi.org/10.11591/ijece.v12i2.pp1916-1928
Source records
- crossref · retrieved 2026-09-25T08:51:22.075Z