Data classification using fuzzy rule-based systems represented as genetic programming type-constrained trees

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{tsakonas_data_2001,

• author = "Athanasios Tsakonas and George Dounias and Hubertus Axer and Diedrich {Graf von Keyserlingk}",
• title = "Data classification using fuzzy rule-based systems represented as genetic programming type-constrained trees",
• booktitle = "UK Workshop on Computational Intelligence",
• year = "2001",
• editor = "Donna Bolland",
• volume = "1",
• pages = "162--168",
• address = "Edinburgh, UK",
• month = "10-12 " # sep,
• keywords = "genetic algorithms, genetic programming, aphasia, data classification, fuzzy rule based systems",
• URL = "http://www.dai.ed.ac.uk/homes/ukci-01/programme",
• URL = "https://pdfs.semanticscholar.org/76e1/f94fd064287f38e044523b1d1e40e0164a53.pdf",
• size = "9 pages",
• abstract = "This paper presents a genetic programming implementation of fuzzy rule based systems for data classification. The genetic programming is used not only as a variable-length search mechanism but the fuzzy rule-based functionality is incorporated inside the genetic programs. The model is tested on real world data from the medical domain and is compared to other computational intelligent approaches. Results denote the operability of our model and seem promising in domains where a large parameter space or incomplete domain knowledge restrains the user from applying well-defined fuzzy classifiers.",
• notes = "http://www.dai.ed.ac.uk/homes/ukci-01/",

}

Genetic Programming entries for Athanasios D Tsakonas Georgios Dounias Hubertus Axer Diedrich Graf von Keyserlingk

Citations