Ishita approach to construct an interval-valued triangular fuzzy regression model using a novel least-absolute based discrepancy

Abdullah Al-Qudaimi. Ishita approach to construct an interval-valued triangular fuzzy regression model using a novel least-absolute based discrepancy. Eng. Appl. of AI, 102:104272, 2021. [doi]

@article{Al-Qudaimi21,
  title = {Ishita approach to construct an interval-valued triangular fuzzy regression model using a novel least-absolute based discrepancy},
  author = {Abdullah Al-Qudaimi},
  year = {2021},
  doi = {10.1016/j.engappai.2021.104272},
  url = {https://doi.org/10.1016/j.engappai.2021.104272},
  researchr = {https://researchr.org/publication/Al-Qudaimi21},
  cites = {0},
  citedby = {0},
  journal = {Eng. Appl. of AI},
  volume = {102},
  pages = {104272},
}