Fuzzy Ecological Models

  • S. Marsili Libelli
  • P. Cianchi
Part of the International Series in Intelligent Technologies book series (ISIT, volume 7)


This chapter describes a modelling algorithm based on input/output fuzzy relations and it application to a simple food chain ecological system. The algorithm yields a fuzzy relational mapping producing a one step ahead prediction and is composed of three steps: fuzzy filtering to convert crisp measurements into fuzzy sets, batch training phase to create the basic relational mapping, and on line updating of the relation to improve the batch relational model. From the algorithmic viewpoint, the optimization procedure has been improved to avoid search failures due to nonlinearities in the relational operators.


Fuzzy Membership Descent Direction Fuzzy Relation Compositional Operator Gradient Search 
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

© Kluwer Academic Publishers 1996

Authors and Affiliations

  • S. Marsili Libelli
    • 1
  • P. Cianchi
    • 1
  1. 1.Department of Systems and ComputersUniversity of FlorenceFirenzeItaly

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