Automatic Generation of Fuzzy Rule Based Classifiers by Evolutionary Algorithms

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F03%3A03087268" target="_blank" >RIV/68407700:21230/03:03087268 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Automatic Generation of Fuzzy Rule Based Classifiers by Evolutionary Algorithms

Original language description

Recently many research studies have been focusing on utilisation of evolutionary techniques for automatic extraction of decision rules from data. This paper describes a system based on grammatical evolution for automatic extraction of if-then fuzzy rules. The system has been evaluated on well-known test data sets from the medical diagnostics domain. First experiments show that the system works reasonably well on the tested data and gives results comparable with some other classifier systems.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

<a href="/en/project/GA102%2F02%2F0132" target="_blank" >GA102/02/0132: Use of genetic principles in evolutionary algorithms</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2003

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Intelligent and Adaptive Systems in Medicine

ISBN

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ISSN

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e-ISSN

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Number of pages

10

Pages from-to

197-206

Publisher name

CVUT FEL Praha

Place of publication

Praha

Event location

Praha

Event date

Mar 31, 2003

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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