Noise Reduction with Inference Based on Fuzzy Rule Interpolation at an Infinite Number of Activating Points: Toward Fuzzy Rule Learning in a Unified Inference Platform

Kiyohiko Uehara, Kaoru Hirota. Noise Reduction with Inference Based on Fuzzy Rule Interpolation at an Infinite Number of Activating Points: Toward Fuzzy Rule Learning in a Unified Inference Platform. JACIII, 22(6):883-899, 2018. [doi]

@article{UeharaH18,
  title = {Noise Reduction with Inference Based on Fuzzy Rule Interpolation at an Infinite Number of Activating Points: Toward Fuzzy Rule Learning in a Unified Inference Platform},
  author = {Kiyohiko Uehara and Kaoru Hirota},
  year = {2018},
  doi = {10.20965/jaciii.2018.p0883},
  url = {https://doi.org/10.20965/jaciii.2018.p0883},
  researchr = {https://researchr.org/publication/UeharaH18},
  cites = {0},
  citedby = {0},
  journal = {JACIII},
  volume = {22},
  number = {6},
  pages = {883-899},
}