Learning methods for type-2 FLS based on FCM

  • Authors:

  • Janusz T. Starczewski;Łukasz Bartczuk;Piotr Dziwiński;Antonino Marvuglia

  • Affiliations:

  • Academy of Management, SWSPiZ, Institute of Information Technology, Łódź, Poland and Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland;Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland;Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland;Cork Constraint Computation Centre, University College Cork, Cork, Ireland

  • Venue:
  • ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
  • Year:
  • 2010

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Abstract

This paper presents a new two-phase learning method for interval type-2 fuzzy logic systems. The method combines traditional learning approaches to type-1 fuzzy systems with fitting of interval memberships using FCM memberships. Two improving modifications of the proposed method are supplied additionally.