An Algorithm to Construct Generalized Voronoi Diagrams with Fuzzy Parameters Based on the Theory of Optimal Partitioning and Neuro-Fuzzy Technologies

Elena Kiseleva, Liudmyla Hart, Olha Prytomanova, Oleksandr Kuzenkov. An Algorithm to Construct Generalized Voronoi Diagrams with Fuzzy Parameters Based on the Theory of Optimal Partitioning and Neuro-Fuzzy Technologies. In Michael Emmerich, Vasyl Lytvyn, Iryna Yevseyeva, Vítor Basto Fernandes, Dmytro Dosyn, Victoria Vysotska, editors, Modern Machine Learning Technologies, Workshop Proceedings of the 8th International Conference on "Mathematics. Information Technologies. Education", MoMLeT&DS-2019, Shatsk, Ukraine, June 2-4, 2019. Volume 2386 of CEUR Workshop Proceedings, pages 148-162, CEUR-WS.org, 2019. [doi]

@inproceedings{KiselevaHPK19,
  title = {An Algorithm to Construct Generalized Voronoi Diagrams with Fuzzy Parameters Based on the Theory of Optimal Partitioning and Neuro-Fuzzy Technologies},
  author = {Elena Kiseleva and Liudmyla Hart and Olha Prytomanova and Oleksandr Kuzenkov},
  year = {2019},
  url = {http://ceur-ws.org/Vol-2386/paper12.pdf},
  researchr = {https://researchr.org/publication/KiselevaHPK19},
  cites = {0},
  citedby = {0},
  pages = {148-162},
  booktitle = {Modern Machine Learning Technologies, Workshop Proceedings of the 8th International Conference on "Mathematics. Information Technologies. Education", MoMLeT&DS-2019, Shatsk, Ukraine, June 2-4, 2019},
  editor = {Michael Emmerich and Vasyl Lytvyn and Iryna Yevseyeva and Vítor Basto Fernandes and Dmytro Dosyn and Victoria Vysotska},
  volume = {2386},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}