Quasi-Linear Approach to FRB Models (Off-Line) Identification

  • Plamen P. Angelov
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 92)


The quasi-linear nature of TSK models allows separating the identification problem into two sub-problems:
  • appropriate partitioning of the state space of interest by clustering;

  • parameter identification of the consequent part.


Membership Function Cluster Centre Linguistic Term Subtractive Cluster Consequent Part 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Plamen P. Angelov
    • 1
  1. 1.Department of Civil and Building EngineeringLoughborough UniversityLoughboroughUK

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