@entry{mat-imh-van-dav-22-aa,
  author = {F Matthias and M IMHOLZ and D VANDEPITTE and M David},
  title = {A review of Interval Field Approaches for Uncertainty Quantification in Numerical Models},
  journal = {},
  volume = {},
  number = {},
  pages = {},
  year = 2022,
  month = ,
  doi = {},
  comment = {},
  abstract = {},
  url = {{\url{https://www.researchgate.net/profile/Matthias-Faes/publication/352137274_A_Review_of_Interval_Field_Approaches_for_Uncertainty_Quantification_in_Numerical_Models/links/60bdc04292851cb13d83fe0c/A-Review-of-Interval-Field-Approaches-for-Uncertainty-Quantification-in-Numerical-Models.pdf}}},
  quotes = {... The methods based on affine arithmetic integrate well with the well-known Karhunen-Lo{\`e}ve expansion method, allowing for the application of a globally defined homogeneous auto-...}
}