Genetic Programming Fuzzy Rule Extractor Using Class Preserving Representation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Kubalik:2001:BNAIC,
-
author = "Jiri Kubalik and Leon Rothkrantz and Jiri Lazansky",
-
title = "Genetic Programming Fuzzy Rule Extractor Using Class
Preserving Representation",
-
booktitle = "BNAIC",
-
year = "2001",
-
pages = "25--26 October",
-
publisher_address = "De Rode Hoed, Amsterdam, Holland",
-
keywords = "genetic algorithms, genetic programming",
-
URL = "
http://labe.felk.cvut.cz/~kubalik/projects/bnaic2001.pdf",
-
URL = "
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.6332",
-
bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
-
language = "en",
-
oai = "oai:CiteSeerXPSU:10.1.1.136.6332",
-
abstract = "This paper describes a genetic programming approach to
the construction of fuzzy classification system with
if-then fuzzy rules. Recently many research studies
were focusing on evolutionary techniques for
automatically extracting fuzzy rules from data. In this
paper we present a method based on genetic programming
with a special structure preserving representation and
special rule base adjusting operators working on it.
First results show that the new features added to
standard GP extractor considerably improve both
performance and comprehensibility of found fuzzy
rules.",
-
notes = "http://hcs.science.uva.nl/bnaic01/",
- }
Genetic Programming entries for
Jiri Kubalik
Leon J M Rothkrantz
Jiri Lazansky
Citations
