Monotonic Takagi-Sugeno models with cubic spline membership functions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00354380" target="_blank" >RIV/68407700:21230/22:00354380 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.eswa.2021.115997" target="_blank" >https://doi.org/10.1016/j.eswa.2021.115997</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.eswa.2021.115997" target="_blank" >10.1016/j.eswa.2021.115997</a>
Alternative languages
Result language
angličtina
Original language name
Monotonic Takagi-Sugeno models with cubic spline membership functions
Original language description
In the paper we present sufficient monotonicity conditions for zero order Takagi-Sugeno fuzzy systems with cubic spline membership functions. Those fuzzy models have some advantages comparing with commonly used membership functions. In contrast to triangular membership functions the corresponding mapping is smooth. Comparing to Gaussian membership functions the monotonicity conditions are less conservative, more intuitive and admit membership functions with different width. Finally, the derived monotonicity conditions are formulated as linear constraints on the parameters of fuzzy system that can be easily incorporated into related optimization problems solvable by efficient algorithms. Performance of the proposed fuzzy system is tested on two benchmark datasets and output prediction of a nonlinear dynamical system.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GA18-26278S" target="_blank" >GA18-26278S: Incorporation of Prior Knowledge for Identification of Nonlinear Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Expert Systems with Applications
ISSN
0957-4174
e-ISSN
1873-6793
Volume of the periodical
188
Issue of the periodical within the volume
February
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
11
Pages from-to
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UT code for WoS article
000709957800002
EID of the result in the Scopus database
2-s2.0-85117413972