Neuro-Fuzzy Relational Classifiers

  • Rafał Scherer
  • Leszek Rutkowski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3070)


In the paper, we present a new fuzzy relational system with multiple outputs for classification purposes. Rules in the system are more flexible than the rules in linguistic fuzzy systems because of the additional weights in rule consequents. The weights comes from an additional binary relation. Thanks to this, input and output fuzzy sets are related to each other with a certain degree. The size of the relations is determined by the number of input fuzzy sets and the number of output fuzzy sets for a given class. Simulation results confirmed the system ability to classify data.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Rafał Scherer
    • 1
    • 2
  • Leszek Rutkowski
    • 1
    • 2
  1. 1.Department of Computer EngineeringCzȩstochowa University of TechnologyCzȩstochowaPoland
  2. 2.Department of Artificial IntelligenceWSHE University in ŁódźŁódźPoland

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