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A new approach to fuzzy regression models with application to business cycle analysis

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Publication:1855464
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DOI10.1016/S0165-0114(01)00175-0zbMath1023.62078MaRDI QIDQ1855464

Neng-Fang Tseng, Berlin Wu

Publication date: 5 February 2003

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)


zbMATH Keywords

fuzzy regressionfuzzy parametertriangular membership functionh-cutmethods of least square


Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Nonparametric estimation (62G05) Linear inference, regression (62J99)


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Fuzzy nonparametric regression based on local linear smoothing technique ⋮ Statistical Analysis with Soft Computation for Fuzzy Answering in Sampling Survey ⋮ Sparse regularized fuzzy regression ⋮ Wavelet fuzzy hybrid model for physico-financial signals ⋮ A fuzzy regression approach using Bernstein polynomials for the spreads: computational aspects and applications to economic models ⋮ A variable spread fuzzy linear regression model with higher explanatory power and forecasting accuracy



Cites Work

  • Fuzzy least squares
  • Evaluation of fuzzy linear regression models
  • Identification of possibilistic linear systems by quadratic membership functions of fuzzy parameters
  • Linear fuzzy regression
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