Genetic Algorithms for solving Systems of Fuzzy Relational Equations

  • Marius Giuclea
  • Alexandru Agapie
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1226)


We propose in this paper a unified method for approximating the solution of a System of Fuzzy Relational Equations (SFRE). The method is essentially based on the use of Genetic Algorithms (GA) and on a probabilistic algorithm for solving a SFRE — presented elsewhere. This approach is useful both in classical SFRE problems and in dynamic system identification. Some numerical results regarding both aspects show that our method can be successfully applied.


Genetic Algorithm Fuzzy Relational Probabilistic Algorithm Fuzzy Relational Equation Genetic Algorithm Model 
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 1997

Authors and Affiliations

  • Marius Giuclea
    • 1
  • Alexandru Agapie
    • 1
  1. 1.National Institute of MicrotechnologyBucharestRomania

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