Possibilistic regression analysis

  • Hideo Tanaka
  • Peijun Guo
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 87)


In this paper two possibilitis regression methods are presented, namely, the linear programming (LP)-based method and the quadratic programming (QP) one. Both methods are illustrated by means of some examples.


House Price Linear Programming Problem Interval Regression Fuzzy Data Fuzzy Regression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Hideo Tanaka
    • 1
  • Peijun Guo
    • 2
  1. 1.Toyohashi Sozo CollegeUshikawacho, ToyohashiJapan
  2. 2.Faculty of EconomicsKagawa UniversityTakamatsu, KagawaJapan

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