Multi-agent evolutionary design of Beta fuzzy systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092753" target="_blank" >RIV/61989100:27240/14:86092753 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891722" target="_blank" >http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891722</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891722" target="_blank" >10.1109/FUZZ-IEEE.2014.6891722</a>
Alternative languages
Result language
angličtina
Original language name
Multi-agent evolutionary design of Beta fuzzy systems
Original language description
This paper provides an overview on a new evolutionary approach based on an intelligent multi-agent architecture to design Beta fuzzy systems (BFSs). The Methodology consists of two processes, a learning process using a clustering technique for the automated design of an initial Beta fuzzy system, and a multi-agent tuning process based on Particle Swarm Optimization algorithm to deal with the optimization of membership functions parameters and rule base. In this approach, dynamic agents use communicationand interaction concepts to generate high-performance fuzzy systems. Experiments on several data sets were performed to show the effectiveness of the proposed method in terms of accuracy and convergence speed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE International Conference on Fuzzy Systems
ISBN
978-1-4799-2072-3
ISSN
1098-7584
e-ISSN
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Number of pages
8
Pages from-to
1234-1241
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Beijing
Event date
Jul 6, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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