From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier

  • Authors:
  • Marcin Korytkowski;Leszek Rutkowski;Rafał Scherer

  • Affiliations:
  • Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland 42-200 and Olsztyn Academy of Computer Science and Management, Olsztyn, Poland 10-165;Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland 42-200 and Department of Artificial Intelligence, Academy of Humanities and Economics in Lodz, Ł& ...;Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland 42-200 and Department of Artificial Intelligence, Academy of Humanities and Economics in Lodz, Ł& ...

  • Venue:
  • ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
  • Year:
  • 2006

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Abstract

Neuro-fuzzy systems show very good performance and the knowledge comprised within their structure is easily interpretable. To further improve their accuracy they can be combined into ensembles. In the paper we combine specially modified Mamdani neuro-fuzzy systems into an AdaBoost ensemble. The proposed modification improves the interpretability of knowledge by allowing merging the subsystems rule bases into one knowledge base. Simulations on two benchmarks shows excellent performance of the modified neuro-fuzzy systems.