Genetic Fuzzy Rule-Based Modelling of Dynamic Systems Using Time Series

  • Marian B. Gorzałczany
  • Filip Rudziński
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7269)

Abstract

The paper presents a genetic fuzzy rule-based technique for the modelling of generalized time series (containing both, numerical and non-numerical, qualitative data) which are a comprehensive source of information concerning the behaviour of many complex systems and processes. The application of the proposed approach to the fuzzy rule-based modelling of an industrial gas furnace system using measurement data available from the repository at the http://www.stat.wisc.edu/~reinsel/bjr-data (the so-called Box-Jenkins’ benchmark) is also presented.

Keywords

Fuzzy Rule Rule Base Generalize Time Series Fuzzy Implication Genetic Fuzzy System 
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 2012

Authors and Affiliations

  • Marian B. Gorzałczany
    • 1
  • Filip Rudziński
    • 1
  1. 1.Department of Electrical and Computer EngineeringKielce University of TechnologyKielcePoland

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