Regression Modeling with Fuzzy Relations

  • Authors:
  • Rafał Scherer

  • Affiliations:
  • 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

In the paper relational neuro-fuzzy systems are described with additional fuzzy relation connecting input and output linguistic fuzzy terms. Thanks to this the fuzzy rules have more complicated structure and can be better suited the task. Fuzzy clustering and relational equations are used to obtain the initial set of fuzzy rules and systems are then learned by the backpropagation algorithm.Simulations shows excellent performance of the modified neuro-fuzzy systems.