Fuzzy Ridge Regression with Non Symmetric Membership Functions and Quadratic Models

  • S. Donoso
  • N. Marín
  • M. A. Vila
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4881)


Fuzzy regression models has been traditionally considered as a problem of linear programming. The use of quadratic programming allows to overcome the limitations of linear programming as well as to obtain highly adaptable regression approaches. However, we verify the existence of multicollinearity in fuzzy regression and we propose a model based on Ridge regression in order to address this problem.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • S. Donoso
    • 1
  • N. Marín
    • 1
  • M. A. Vila
    • 1
  1. 1.IDBIS Research Group - Dept. of Computer Science and A. I., E.T.S.I.I. - University of Granada, 18071, GranadaSpain

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