GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems

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@Article{Berlanga20101183,
  author =       "F. J. Berlanga and A. J. Rivera and 
                 M. J. {del Jesus} and F. Herrera",
  title =        "GP-COACH: Genetic Programming-based learning of
                 COmpact and ACcurate fuzzy rule-based classification
                 systems for High-dimensional problems",
  journal =      "Information Sciences",
  volume =       "180",
  number =       "8",
  pages =        "1183--1200",
  year =         "2010",
  ISSN =         "0020-0255",
  DOI =          "doi:10.1016/j.ins.2009.12.020",
  URL =          "http://www.sciencedirect.com/science/article/B6V0C-4Y34R0J-1/2/82039ab1549f5a0d0fc4d73b2a30bfa6",
  keywords =     "genetic algorithms, genetic programming,
                 Classification, Fuzzy rule-based systems, Genetic fuzzy
                 systems, High-dimensional problems,
                 Interpretability-accuracy trade-off",
  abstract =     "In this paper we propose GP-COACH, a Genetic
                 Programming-based method for the learning of COmpact
                 and ACcurate fuzzy rule-based classification systems
                 for High-dimensional problems. GP-COACH learns
                 disjunctive normal form rules (generated by means of a
                 context-free grammar) coded as one rule per tree. The
                 population constitutes the rule base, so it is a
                 genetic cooperative-competitive learning approach.
                 GP-COACH uses a token competition mechanism to maintain
                 the diversity of the population and this obliges the
                 rules to compete and cooperate among themselves and
                 allows the obtaining of a compact set of fuzzy rules.
                 The results obtained have been validated by the use of
                 non-parametric statistical tests, showing a good
                 performance in terms of accuracy and
                 interpretability.",
}

Genetic Programming entries for Francisco Jose Berlanga Antonio Jesus Rivera Rivas Maria Jose del Jesus Francisco Herrera

Citations