On PSO-based approximation of Zadeh’s extension principle

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F20%3AA21025F7" target="_blank" >RIV/61988987:17610/20:A21025F7 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-50153-2_20" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-50153-2_20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-50153-2_20" target="_blank" >10.1007/978-3-030-50153-2_20</a>

Result language
angličtina
Original language name
On PSO-based approximation of Zadeh’s extension principle
Original language description
Zadeh's extension is a powerful principle in fuzzy set theory which allows to extend a real-valued continuous map to a map having fuzzy sets as its arguments. In our previous work we introduced an algorithm which can compute Zadeh’s extension of given continuous piecewise linear functions and then to simulate fuzzy dynamical systems given by them. The purpose of this work is to present results which generalize our previous approach to a more complex class of maps. For that purpose we present an adaptation on optimization algorithm called particle swarm optimization and demonstrate its use for simulation of fuzzy dynamical systems.
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Information Processing and Management of Uncertainty in Knowledge-Based Systems
ISBN
978-3-030-50153-2
ISSN
1865-0929
e-ISSN
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Number of pages
14
Pages from-to
267-280
Publisher name
Springer
Place of publication
Cham
Event location
Lisabon
Event date
Jun 15, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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