Development of a fuzzy rule-based system using Genetic Programming for Forecasting problems

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Koshiyama:2015:FUZZ-IEEE,
  author =       "Adriano S. Koshiyama and Marley M. B. R. Vellasco and 
                 Ricardo Tanscheit",
  booktitle =    "2015 IEEE International Conference on Fuzzy Systems
                 (FUZZ-IEEE)",
  title =        "Development of a fuzzy rule-based system using Genetic
                 Programming for Forecasting problems",
  year =         "2015",
  abstract =     "This work presents a novel genetic fuzzy system for
                 forecasting, called Genetic Programming Fuzzy Inference
                 System for Forecasting problems (GPFIS-Forecast), which
                 generates an interpretable fuzzy rule base by using
                 Multi-Gene Genetic Programming to define the premises
                 terms of fuzzy rules. The main differences between
                 GPFIS-Forecast and other genetic fuzzy systems lie in
                 its fuzzy inference process, because it: (i) enables
                 premises to be include negation, t-conorm and
                 linguistic hedge operators; (ii) applies methods to
                 define a consequent term more compatible with a given
                 premise; and (iii) makes use of aggregation operators
                 to weigh fuzzy rules in accordance with their influence
                 on the problem. GPFIS-Forecast has been tested in the
                 NN3 Competition, in order to evaluate its performance
                 in a benchmark problem. In this case, it has produced
                 competitive results when compared to other forecasting
                 approaches.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/FUZZ-IEEE.2015.7338037",
  month =        aug,
  notes =        "Dept. of Electr. Eng., Pontifical Catholic Univ. of
                 Rio de Janeiro, Rio de Janeiro, Brazil

                 Also known as \cite{7338037}",
}

Genetic Programming entries for Adriano Soares Koshiyama Marley Maria Bernardes Rebuzzi Vellasco Ricardo Tanscheit

Citations