Evolving fuzzy detectives: An investigation into the evolution of fuzzy rules

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{bentley:1999:EA,
  author =       "Peter J. Bentley",
  title =        "Evolving fuzzy detectives: An investigation into the
                 evolution of fuzzy rules",
  booktitle =    "Late Breaking Papers at the 1999 Genetic and
                 Evolutionary Computation Conference",
  year =         "1999",
  editor =       "Scott Brave and Annie S. Wu",
  pages =        "38--47",
  address =      "Orlando, Florida, USA",
  month =        "13 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.ucl.ac.uk/staff/P.Bentley/BEC7.pdf",
  abstract =     "This paper explores the use of genetic programming to
                 evolve fuzzy rules for the purpose of fraud detection.
                 The fuzzy rule evolver designed during this research is
                 described in detail. Four key system evaluation
                 criteria are identified: intelligibility, speed,
                 handling noisy data, and accuracy. Three sets of
                 experiments are then performed in order to assess the
                 performance of different components of the system, in
                 terms of these criteria. The paper concludes: 1. that
                 many factors affect accuracy of classification, 2.
                 intelligibility and processing speed mainly seem to be
                 affected by the fuzzy membership functions and 3. noise
                 can cause loss of accuracy proportionate to the square
                 of noise.",
  notes =        "GECCO-99LB, fraud detection, pre-GP 3-way clustering
                 of each attribute multi-objective fitness function.
                 variable size tree genotypes, bitstring in tree
                 specifies input field, start small. Newer version
                 available bentley:2000:EA

                 Iris and Wisconsin Breast Cancer. Perfomance falls
                 lineraly or quadratically with noise.",
}

Genetic Programming entries for Peter J Bentley

Citations