Max-Min Relational Networks

  • A. Blanco
  • M. Delgado
  • I. Requena
Part of the International Series in Intelligent Technologies book series (ISIT, volume 7)


Over the last few decades the general General Systems Theory has been developed greatly, making possible its application in many fields, although it suffers, like many branches of Science, from an excessively rigid point of view to face the problems. That is why several models have appeared which have been called FUZZY SYSTEMS, with which it is intended to describe ill-defined or little known behaviors. The proliferation of models and applications has been great, but systematic analysis of the relationships between them has been tackled only in a few occassions. We have dedicated a large part of our research to this subject (see e.g. [1], [2],[3]). Generally speaking we may say that our work attempts to study and develop methods for identifying fuzzy systems, (specifically by means of fuzzy relational equations and neural networks), to analyze the learning of rules as a way of identifying systems based on fuzzy rules and to study the use of neural networks in fuzzy inference.


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Copyright information

© Kluwer Academic Publishers 1996

Authors and Affiliations

  • A. Blanco
    • 1
  • M. Delgado
    • 1
  • I. Requena
    • 1
  1. 1.Department of Computer Sciences and Artificial IntelligenceUniversity of GranadaGranadaSpain

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