Learning fuzzy rules using Genetic Programming: Context-free grammar definition for high-dimensionality problems

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

@InProceedings{Berlanga:2005:GFS,
  title =        "Learning fuzzy rules using Genetic Programming:
                 Context-free grammar definition for high-dimensionality
                 problems",
  author =       "Francisco Jose Berlanga and Maria Jose {Del Jesus} and 
                 Francisco Herrera",
  booktitle =    "International workshop on Genetic Fuzzy System, GFS
                 2005",
  year =         "2005",
  editor =       "Oscar Cordon and Francisco Herrera",
  keywords =     "genetic algorithms, genetic programming",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:10.1.1.415.2932",
  rights =       "Metadata may be used without restrictions as long as
                 the oai identifier remains attached to it.",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.2932",
  URL =          "http://sci2s.ugr.es/keel/pdf/specific/congreso/gfs2005.pdf",
  broken =       "http://sci2s.ugr.es/publications/ficheros/berlanga_deljesus_herrera_GFS05.pdf",
  size =         "5 pages",
  abstract =     "The inductive learning of a fuzzy rule-based
                 classification system (FRBCS) with high
                 interpretability is made difficult by the presence of a
                 large number of features that increases the
                 dimensionality of the problem being solved. The
                 difficult comes from the exponential growth of the
                 fuzzy rule search space with the increase in the number
                 of features considered. In this work we tackle this
                 problem, the FRBCS learning with high interpretability
                 for high-dimensionality problems. We propose a
                 genetic-programming-based method, where the evolved
                 disjunctive normal form fuzzy rules compete in order to
                 obtain an FRBCS with high interpretability (few rules
                 and few antecedent conditions per rule) while
                 maintaining a good performance.",
}

Genetic Programming entries for Francisco Jose Berlanga Maria Jose del Jesus Francisco Herrera

Citations