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Relational Type-2 Interval Fuzzy Systems

  • Rafał Scherer
  • Janusz T. Starczewski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6067)

Abstract

In this paper we combine type-2 fuzzy logic with a relational fuzzy system paradigm. Incorporating type-2 fuzzy sets brings new possibilities for performance improvement. The relational fuzzy system scheme reduces significantly the number of system parameters to be trained. Numerical simulations of the proposed combination of systems are presented.

Keywords

Membership Function Fuzzy System Fuzzy Membership Function Fuzzy Logic System Certainty Factor 
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 2010

Authors and Affiliations

  • Rafał Scherer
    • 1
  • Janusz T. Starczewski
    • 1
  1. 1.Department of Computer EngineeringCzȩstochowa University of TechnologyCzȩstochowaPoland

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