From fuzzy regression to gradual regression: interval-based analysis and extensions
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Publication:2195477
DOI10.1016/j.ins.2018.02.002zbMath1440.62292OpenAlexW2793580892MaRDI QIDQ2195477
Reda Boukezzoula, Sylvie Galichet, Didier Coquin
Publication date: 8 September 2020
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2018.02.002
gradual regressionimprecision and uncertaintyintervals and gradual intervalsontic and epistemic visionspossibilistic and least-squares regressionspossibility and belief function theories
Reasoning under uncertainty in the context of artificial intelligence (68T37) Fuzziness, and linear inference and regression (62J86)
Related Items (6)
A clusterwise nonlinear regression algorithm for interval-valued data ⋮ A decision-making computational methodology for a class of type-2 fuzzy intervals: an interval-based approach ⋮ Macsum: a new interval-valued linear operator ⋮ A new methodology for solving fuzzy systems of equations: thick fuzzy sets based approach ⋮ An understandable way to discover methods to model interval input-output samples ⋮ Fuzzy linear least squares for the identification of possibilistic regression models
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